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"IEEE Sensors Alert" is a pilot project of the IEEE Sensors Council. Started as one of its new initiatives, this weekly digest publishes teasers and condensed versions of our journal papers in layperson's language.

Articles Posted in the Month (December 2024)

Design, Fabrication, and Validation of a Flexible Tactile Sensor for a Hand Prosthesis

Author: Kuo Chung-hsien, Nguyen Dai-Dong, Su Shun-Feng, Xie Wu-Qi
Published in: IEEE Sensors Journal (Volume: 24, Issue: 16, March 2024)
Summary Contributed by:  Chung-Hsien Kuo (Author)
The design of a flexible tactile sensor using liquid metal (LM) and elastic fibers provides sensing capability and enhances the performance of a hand prosthesis. This study details the measurement principles of the LM-based force sensor, the design and fabrication process, and the sensor signal processing circuit. The proposed flexible tactile sensor offers reliable performance with high sensitivity in three axes, low error, and improved functionality in hand prostheses.
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5 min
December 10, 2024

Articles Posted in the Month (December 2024)

Characterizing Deep Neural Networks on Edge Computing Systems for Object Classification in 3D Point Clouds

Author: Cristian Wisultschew, Alejandro Pérez, Andrés Otero, Gabriel Mujica, Jorge Portilla
Published in: IEEE Sensors Journal (Volume: 22, Issue: 17, September 2022)
Summary Contributed by:  Payal Savani
In our technology-driven world, devices require quick and efficient data processing. Edge computing enables rapid local decision-making, preserving bandwidth and privacy. Understanding platform intricacies is crucial for informed decision-making while navigating through vast data. The paper explores innovative approaches and experimental findings, providing insights into Deep Neural Networks (DNNs) architecture performance across diverse edge technologies. This aids in selecting optimal architectures based on performance metrics for specific applications.
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5 min
December 10, 2024

Articles Posted in the Month (December 2024)

A Single-Chip AlScN PMUTs-on-CMOS Hydrophone

Author: Uranga Arantxa, Barniol Nuria, Ledesma Eyglis
Published in: IEEE Sensors Journal (Volume: 24, Issue: 13, July 2024)
Summary Contributed by:  Arantxa Uranga (Author)
Hydrophones are devices that convert underwater acoustic pressure into electrical signals. The paper proposes a hydrophone designed using Aluminum Scandium Nitride (AlScN) piezoelectric micromachined ultrasonic transducers (PMUTs) integrated monolithically on CMOS (Complementary Metal-Oxide-Semiconductor). This single-chip AIScN PMUTs with COMS (PMUTs-on-CMOS) hydrophone offers compactness, high sensitivity, and energy efficiency for underwater acoustic sensing. It supports high-performance underwater detection and has promising applications in underwater communications, sonar, and environmental monitoring systems.
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5 min
December 3, 2024

Articles Posted in the Month (December 2024)

A Retail Object Classification Method Using Multiple Cameras for Vision-Based Unmanned Kiosks

Author: Ji-Ye Jeon, Shin-Woo Kang, Hyuk-Jae Lee, Jin-Sung Kim
Published in: IEEE Sensors Journal (Volume: 22, Issue: 22, November 2022)
Summary Contributed by:  Saurabh Dubey
Sensor technology, wireless communications, and Internet of Things (IoT) use in unmanned self-checkout systems has elevated the retail experience. This paper presents a vision-based RGB kiosk using a sophisticated combination of multiple cameras and a cutting-edge Convolutional Neural Network (CNN) framework, yielding a 33.67% improvement over conventional methods. It solves inter-classification challenges and intra-class variations in products with 142k+ real-world dataset points, with promising applications in retail and lifestyle sectors.
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5 min
December 3, 2024

Articles Posted in the Month (November 2024)

TSSTDet: Transformation-Based 3-D Object Detection via a Spatial Shape Transformer

Author: Yoo Myungsik, Bui Cuong Duy, Hoang Hiep Anh
Published in: IEEE Sensors Journal (Volume: 24, Issue: 5, March 2024)
Summary Contributed by:  Myungsik Yoo (Author)
Accurate 3D object detection is essential for the safe navigation of autonomous vehicles. The novel transformation-based 3-D object detection via a spatial shape transformer (TSSTDet) overcomes the challenges of incomplete and varying orientations of the obstructions.  Its key features include a rotational transformation convolutional backbone (RTConv) for orientation-invariant detection and a voxel-point shape transformer for reconstructing missing parts, thus improving obstacle detection and avoidance and enhancing safe navigation in autonomous driving.
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5 min
November 26, 2024

Articles Posted in the Month (November 2024)

Camera-Augmented Non-Contact Vital Sign Monitoring in Real Time

Author: Arash Shokouhmand, Samuel Eckstrom, Behnood Gholami, Negar Tavassolian
Published in: EEE Sensors Journal (Volume: 22, Issue: 12, June 2022)
Summary Contributed by:  Payal Savani
Vital signs, such as heart rate (HR) and respiratory rates (RR), are crucial for patients' health assessment. Technological advancements have led to non-contact monitoring using cameras and radars. This paper introduces a camera-guided frequency-modulated continuous-wave (FMCW) radar system for real-time non-contact vital sign monitoring. The novel singular value-based point detection (SVPD) method is designed to optimize respiratory and heart rate monitoring. Experiments show high accuracy and effective vital signs monitoring.
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5 min
November 26, 2024

Articles Posted in the Month (November 2024)

Occupancy Grid Mapping for Automotive Driving Exploiting Clustered Sparsity

Author: Pandharipande Ashish, Joseph Geethu, Myers Nitin, Onen Cagan
Published in: IEEE Sensors Journal (Volume: 24, Issue: 7, April 2024)
Summary Contributed by:  Pandharipande Ashish (Author)
Environment mapping is a key component in assisted and autonomous driving. This paper introduces a method to generate 2D occupancy maps using light detection and ranging (LiDAR) and radar data, leveraging their clustered, sparse nature. It presents a linear sensor measurement model and pattern-coupled sparse Bayesian learning approach for occupancy map estimation. Tested with real-world data highlighting the methods, it shows superior performance in detecting obstacles.
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5 min
November 19, 2024

Articles Posted in the Month (November 2024)

A Fully Flexible Hydrogel Electrode for Daily EEG Monitoring

Author: Gencai Shen, Kunpeng Gao, Nan Zhao, Zhuangzhuang Wang, Chunpeng Jiang, Jingquan Liu
Published in: IEEE Sensors Journal (Volume: 22, Issue: 13, July 2022)
Summary Contributed by:  Saurabh Dubey
The study explores fully flexible hydrogel electrodes for daily monitoring of electroencephalogram (EEG) Signals. Synthesized through a NAGA (n-acryloyl glycinamide) hydrogel enriched with glycerol, these electrodes exhibit enhanced skin conductivity compared to dry and semi-dry electrodes. With stable signal monitoring, 70% deformation tolerance, and 90-day durability, these electrodes prove ideal for daily EEG monitoring, aiding brain activity monitoring applications in Brain Computer Interface studies based on data analysis algorithms.
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5 min
November 19, 2024

Articles Posted in the Month (November 2024)

Glyphosate Detection Through Piezoelectric and Fiber Optic Sensors Based on Molecular Imprinted Polymers

Author: Sequeira Filipa, Bilro Lucia, Gomes Maria Teresa S. R., Oliveira Ricardo, Reis Silvia, Rudnitskaya Alisa, Verissimo Marta
Published in: IEEE Sensors Journal (Volume: 24, Issue: 13, July 2024)
Summary Contributed by:  Sequeira Filipa (Author)
Glyphosate is a harmful herbicide often detected in soil and groundwater. The study demonstrates the proof of concept of a portable “sensing pen” for glyphosate detection using sensors with molecularly imprinted polymers (MIPs). MIPs are engineered to bind glyphosate to enhance detection accuracy. The sensors combine piezoelectric and fiber optic technologies to achieve high sensitivity and specificity. These sensors can rapidly detect glyphosate, offering a cost-effective and reliable solution for environmental monitoring.
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6 min
November 12, 2024

Articles Posted in the Month (November 2024)

WS2 Gas Sensor Based on Photothermocatalytic Effect for Ammonia Detection With High Response

Author: Hang Cheng, Weixin Liu, Ruiyang Chen, Bowen Tan, Muyan He, Renze Zhang, Botao Liu, Zhenyu Yuan
Published in: IEEE Sensors Journal (Volume: 22, Issue: 24, December 2022)
Summary Contributed by:  Payal Savani
Ammonia (NH3), a vital environmental gas, is hazardous to health. Traditional methods to detect ammonia are slow and expensive. The study investigates the sensitivity, selectivity, and optimal operating conditions of Tungsten disulfide (WS2)-based gas sensors. Using materials like WS2 offers fast and effective detection methods, highlighting their strong response to ammonia, selectivity against other gasses, and improved efficiency under light illumination, offering valuable insights for developing more efficient gas detection technologies.
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5 min
November 12, 2024

Articles Posted in the Month (November 2024)

DN-SLAM: A Visual SLAM With ORB Features and NeRF Mapping in Dynamic Environments

Author: Zhang Kehua, Huang Kai, Ruan Chenyu, Zang Qiuyu
Published in: IEEE Sensors Journal (Volume: 24, Issue: 4, February 2024)
Summary Contributed by:  Zhang Kehua (Author)
Simultaneous Localization and Mapping (SLAM) is essential for robots navigating new environments. DN-SLAM is a novel SLAM system designed to navigate dynamic environments. It integrates ORB (Oriented FAST and Rotated BRIEF) features for robust extraction and neural radiance fields (NeRF) for high-quality 3D representation to accurately estimate trajectory in dynamic environments. Its enhanced real-time tracking and dense mapping in dynamic scenes make it a promising solution for various robotics applications.
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5 min
November 5, 2024

Articles Posted in the Month (November 2024)

Detection of Soil Moisture, Humidity, and Liquid Level Using CPW-Based Interdigital Capacitive Sensor

Author: Shaheen Ahmad, Nabil Khalid,Rashid Mirzavand
Published in: IEEE Sensors Journal (Volume: 22, Issue: 11, June 2022)
Summary Contributed by:  Saurabh Dubey
The Interdigital Capacitive sensor integrated with CPW (Coplanar Waveguide) feeding is economical and effective for measuring soil moisture, air humidity, and liquid levels. Coated with a Polyvinyl Alcohol layer, it maintains linearity for soil moisture and is reliable for liquid-level detection. Tested at 915 MHz, it exhibits high sensitivity. With low power consumption and reliability, it finds application across diverse fields like agriculture, oil, and medical equipment.
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5 min
November 5, 2024

Articles Posted in the Month (October 2024)

Low Cost, Flexible, Room Temperature Gas Sensor: Polypyrrole-Modified Laser-Induced Graphene for Ammonia Detection

Author: Salehnia Foad, Vilanova X., Llobet Eduard, Romero Nevado Alfonso Jose, Santos Ceballos Jose Carlos
Published in: IEEE Sensors Journal (Volume: 24, Issue: 7, April 2024)
Summary Contributed by:  Salehnia Foad (Author)
The hazardous nature of ammonia (NH3) makes its monitoring crucial. The paper presents a novel, low-cost, and flexible ammonia gas sensor using polypyrrole-modified laser-induced graphene (PPy@LIG) developed for real-time monitoring and detection of ammonia in atmosphere. It demonstrates enhanced sensitivity, excellent repeatability, and a low detection limit of 1 ppm at room temperature. This breakthrough opens opportunities for advanced air quality monitoring systems and potential applications in agriculture and industrial settings.
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5 min
October 29, 2024

Articles Posted in the Month (October 2024)

Fabrication and Characterization of P3HT/MoS₂ Thin-Film Based Ammonia Sensor Operated at Room Temperature

Author: Ankit Verma, Praveen Kumar Sahu, Vivek Chaudhary, Arun Kumar Singh, V. N. Mishra, Rajiv Prakash
Published in: IEEE Sensors Journal (Volume: 22, Issue: 11, June 2022)
Summary Contributed by:  Anupama
The study presents a high-performance ammonia gas sensor using poly(3-hexylthiophene)/molybdenum disulfide (P3HT/MoS2) nanocomposite in a top-contact organic field-effect transistor (OFET) assembly. The P3HT/MoS2 surface, with superior crystallinity and extended nanofiber morphology, improves charge interaction and transport with ammonia, yielding a gas sensor response of 63.45% at 100 ppm ammonia concentration. The fabricated OFET showcases high efficiency, sensitivity, and non-invasiveness, demonstrating significant potential for environmental protection as an ammonia gas sensor.
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4 min
October 29, 2024

Articles Posted in the Month (October 2024)

Optimization of Lab-On-a-CD by Experimental Design and Machine Learning Models for Microfluidic Biosensor Application

Author: Kaziz Sameh, Echouchene Fraj, Gazzah Mohamed Hichem, Jemmali Asma
Published in: IEEE Sensors Journal (Volume: 24, Issue: 7, April 2024)
Summary Contributed by:  Kaziz Sameh (Author)
Advanced computational models like artificial neural networks (ANN) and particle swarm optimization with artificial neural networks (PSO-ANN) are revolutionizing the prediction of microfluidic biosensor performance. They predict detection times based on critical input variables and identify optimal conditions for enhanced biosensor performance by systematically varying key parameters. Machine learning (ML) algorithms analyze the data to predict outcomes and improve detection accuracy. The findings promise advancements in biosensor technology across diverse applications.
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5 min
October 22, 2024

Articles Posted in the Month (October 2024)

EEG-Based Emotion Recognition via Efficient Convolutional Neural Network and Contrastive Learning

Author: Chang Li, Xuejuan Lin, Yu Liu, Rencheng Song, Juan Cheng, Xun Chen
Published in: IEEE Sensors Journal (Volume: 22, Issue: 20, October 2022)
Summary Contributed by:  Saurabh Dubey
The advancements in human-computer interaction (HCI) have proved effective in training machines and fostered research in automatic emotion recognition. Convolutional neural networks (CNNs) have shown promising results in electroencephalogram (EEG)-based emotion recognition. The study investigates electroencephalogram (EEG) based signals for precise emotional recognition trained over novel and effective Convolutional Neural Networks (CNN) and Contrastive Learning methods. This technology holds promise for future applications in emotional understanding and mental health monitoring.
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5 min
October 22, 2024

Articles Posted in the Month (October 2024)

Development of Flexible Electronic Biosensors for Healthcare Engineering

Author: Yan Jian, Yan Jiasheng, Cheng Jie, Fu Yusheng, Guo Jinhong, Zhao Ying, Zhou Jun
Published in: IEEE Sensors Journal (Volume: 24, Issue: 8, April 2024)
Summary Contributed by:  Jian Yan (Author)
With the potential for real-time health monitoring and personalized diagnosis, wearable biosensors are the future of the healthcare system. The portability and stretchability of flexible electronics allow them to substitute bulky diagnostic devices with wearable devices, thus creating possibilities for non-invasive continuous health monitoring. These biosensors convert physiological data into interpretable information by integrating innovative sensing mechanisms and designs, enabling healthcare professionals to detect warning signs, diagnose diseases, and assess health accurately.
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5 min
October 15, 2024

Articles Posted in the Month (October 2024)

Impact of the Earth Rotation Compensation on MEMS-IMU Preintegration of Factor Graph Optimization

Author: Hailiang Tang, Tisheng Zhang, Xiaoji Niu, Jing Fan, Jingnan Liu
Published in: IEEE Sensors Journal (Volume: 22, Issue: 17, September 2022)
Summary Contributed by:  Anupama
The paper explores the impact of Earth rotation compensation on the microelectromechanical systems-based inertial measurement units (MEMS-IMU) preintegration in navigation system accuracy. Experimental evaluations reveal substantial accuracy degradation without Earth rotation compensation and highlight the transformative potential of refined IMU preintegration in achieving high accuracy. The proposed advanced navigation system integrates global navigation satellite system positioning (GNSS) with IMU preintegration through Factor Graph Optimization, offering a promising avenue for enhanced accuracy and robustness in navigation systems.
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5 min
October 15, 2024

Articles Posted in the Month (October 2024)

A Novel Embedded Deep Learning Wearable Sensor for Fall Detection

Author: Palma Lorenzo, Palma Lorenzo, Alnasef Alaa, Belli Alberto, Campanella Sara, Falaschetti Laura, Pierleoni Paola
Published in: IEEE Sensors Journal (Volume: 24, Issue: 9, May 2024)
Summary Contributed by:  Palma Lorenzo (Author)
Accidental falls across age groups and occupations could affect the quality of life. This work presents an innovative deep-learning approach specifically designed for edge devices for fall detection. The wearable sensor combines a three-axis accelerometer, gyroscope, and pressure sensor. It operates in real-time, recognizing the actions performed and categorizing them as everyday activities or falls. The power-efficient, low-cost, simple model with 99.38% accuracy and 25ms inference time is practical for real-world applications.
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5 min
October 8, 2024

Articles Posted in the Month (October 2024)

Fingerprint Augment Based on Super-Resolution for WiFi Fingerprint Based Indoor Localization

Author: Tian Lan, Xianmin Wang, Zhikun Chen, Jinkang Zhu; Sihai Zhang
Published in: IEEE Sensors Journal (Volume: 22, Issue: 12, June 2022)
Summary Contributed by:  Saurabh Dubey
Indoor localization based on WiFi Fingerprint techniques, augmented with the proposed FASR (Fingerprint Augment Based on Super-Resolution) framework, demonstrates increased localization accuracy and cost-effectiveness. The study explores the processing of the FASR framework and its super-resolution attributes in multiple modules. Assisted by deep neural network learning models, the framework shows consistent performance across various spatial samples with high position accuracy and promising application in the field of image processing.
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5 min
October 8, 2024

Articles Posted in the Month (October 2024)

LSTM-Autoencoder-Based Anomaly Detection for Indoor Air Quality Time-Series Data

Author: Yuanyuan Wei, Julian Jang-Jaccard, Wen Xu, Fariza Sabrina, Seyit Camtepe, Mikael Boulic
Published in: IEEE Sensors Journal (Volume: 23, Issue: 4, February 2023)
Summary Contributed by:  Kamalesh Tripathy
Maintaining indoor air quality (IAQ) is crucial for health and wellness. Accurate data analysis and contextual anomaly detection are essential for IAQ monitoring. The paper introduces a hybrid deep-learning model, combining long short-term memory (LSTM) with autoencoder (AE). LSTM learns typical carbon dioxide (CO2) time sequence patterns, while AE computes optimal reconstruction errors and detects anomalies. Achieving 99.50% accuracy in real-world testing, the model shows promise for enhancing IAQ monitoring.
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5 min
October 2, 2024

Articles Posted in the Month (September 2024)

3-D-Printing and Reliability Evaluation of an Easy-to-Fabricate Position Sensing System for Printed Functional Wearable Assistive Devices

Author: Michalec Paweł, Faller Lisa-Marie
Published in: IEEE Sensors Journal (Volume: 24, Issue: 4, February 2024)
Summary Contributed by:  Michalec Paweł (Author)
The demand for advanced medical devices has created challenges in integrating sensors into cost-effective wearable medical assistive devices. The paper presents a novel, fully 3D-printed linear encoder developed using commercially available electrically conductive and nonconductive materials. This easy-to-fabricate technology was tested in a sensorized hand orthosis (sHO). It aims to enhance the functionality of wearable assistive devices by accurately detecting and monitoring movements, thus offering promising solutions for rehabilitation devices.
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5 min
September 30, 2024

Articles Posted in the Month (September 2024)

CAMs-SLAM: Cloud-Based Multisubmap VSLAM for Multisource Asynchronous Sensing of Biped Climbing Robots

Author: Zhang Hong, Chen Weinan, Gu Shichao, Zhu Lei
Published in: IEEE Sensors Journal (Volume: 24, Issue: 14, July 2024)
Summary Contributed by:  Hong Zhang (Author)
Understanding and navigating the surroundings is a key feature of biomimetic Biped climbing robots (BiCRs). This is achieved through visual simultaneous localization and mapping (VSLAM). The paper presents a cloud-based asynchronous multisubmap VSLAM (CAMs-SLAM) system, which assists these robots with necessary computing, mapping, environment perception, and autonomous navigation. Even with weak internet connections and low data, this system demonstrates its feasibility and superiority in autonomous climbing applications, offering practical benefits for real-world use.
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5 min
September 23, 2024

Articles Posted in the Month (September 2024)

TSF: Two-Stage Sequential Fusion for 3D Object Detection

Author: Heng Qi, Peicheng Shi, Zhiqiang Liu, Aixi Yang
Published in: IEEE Sensors Journal (Volume: 22, Issue: 12, June 2022)
Summary Contributed by:  Anupama
This paper introduces a two-stage sequential fusion (TSF) method for 3D object detection in autonomous driving. TSF fuses the raw LiDAR point cloud with corresponding image data to produce an improved point cloud. The study also analyzes the impact of the fusion module on detection capabilities and explores the balance between accuracy and speed. The results show that TSF substantially boosts LiDAR detection accuracy, especially in small-object detection.
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5 min
September 16, 2024

Articles Posted in the Month (September 2024)

GPS Spoofing Detection and Mitigation for Drones Using Distributed Radar Tracking and Fusion

Author: Bethi Pardhasaradhi, Linga Reddy Cenkeramaddi
Published in: IEEE Sensors Journal (Volume: 22, Issue: 11, June 2022)
Summary Contributed by:  Bethi Pardhasaradhi (Author)
GPS-based navigation, widely used worldwide, is cost-effective for providing position, velocity, and time data. However, it is susceptible to spoofing, especially in UAVs (unmanned aerial vehicles). The paper proposes a GPS spoofing detection and mitigation method using distributed radar tracking and data fusion techniques. The approach combines primary and secondary data through extended Kalman filters and track-to-track association. It ensures accuracy even during spoofing attacks, making it ideal for drone swarms.
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5 min
September 9, 2024

Articles Posted in the Month (September 2024)

Performance Study of MEMS Piezoresistive Pressure Sensors at Elevated Temperatures

Author: Vinod Belwanshi, Sebin Philip, Anita Topkar
Published in: IEEE Sensors Journal ( Volume: 22, Issue: 10, May 2022)
Summary Contributed by:  Kamalesh Tripathy
Micro-Electro-Mechanical-Systems (MEMS) based piezoresistive pressure sensors are widely used across various industries. However, these sensors are prone to failure due to junction leakage at high-temperature applications. The paper presents three piezoresistive pressure sensors designed using different technologies: standard diffused piezoresistors, oxide-isolated polysilicon, and single crystal silicon piezoresistors. Tested up to 200°C and 140 bar, all sensors showed reduced sensitivity with temperature, with oxide-isolated polysilicon sensors exhibiting the best performance.
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6 min
September 2, 2024

Articles Posted in the Month (August 2024)

Fetal Movement Detection by Wearable Accelerometer Duo Based on Machine Learning

Author: Jingyi Xu, Chao Zhao, Bo Ding, Xiaoxia Gu, Wenru Zeng, Liang Qiu, Hong Yu, Yang Shen, Hong Liu
Published in: IEEE Sensors Journal (Volume: 22, Issue: 12, June 2022)
Summary Contributed by:  Chao Zhao (Author)
Fetal movement monitoring is vital for fetal health. The accuracy of the maternal perception in monitoring fetal movement varies. In this work, a wearable device with two accelerometers and machine learning algorithms was developed for accurate and continuous fetal movement monitoring. It aims for accuracy comparable to ultrasound. The device showed promising results in fetal movement monitoring, potentially providing valuable insights into the fetal biological profile during the perinatal period.
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5 min
August 26, 2024

Articles Posted in the Month (August 2024)

Single Aerosol Particle Detection by Acoustic Impaction

Author: Nadine Karlen, Tobias Rüggeberg, Bradley Visser, Jana Hoffmann, Daniel A. Weiss, Ernest Weingartner
Published in: IEEE Sensors Journal (Volume: 22, Issue: 12, June 2022)
Summary Contributed by:  Saurabh Dubey
Accurate detection of aerosol particles is vital for health and addressing climate risks. The paper discusses DustEar, a state-of-the-art measurement method, which employs an acoustic Piezo transducer to accelerate particles in a nozzle, enabling precise detection of individual aerosol particles up to 15 μm. The design reduces airflow interference and noise levels, ensuring accurate single-particle measurement. It has diverse applications in drug quality control, pollution source analysis, and environmental management.
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4 min
August 19, 2024

Articles Posted in the Month (August 2024)

Estimating Relative Angles Using Two Inertial Measurement Units Without Magnetometers

Author: Seung Yun Song, Yinan Pei, Elizabeth T. Hsiao-Wecksler
Published in: IEEE Sensors Journal (Volume: 22, Issue: 20, October 2022)
Summary Contributed by:  Seung Yun Song (Author)
Wearable technology heavily relies on miniature sensors called inertial measurement units (IMU). IMUs are vital for computing body segment angular kinematics in biomechanics and clinical settings. This study presents a low-cost two 6-axis IMU system without magnetometers to estimate relative angles. It validates existing algorithms for 3D orientation computation. The system's user-friendly design and accurate orientation calculation hold promise for advancements in virtual reality, health monitoring, and wearable technologies.
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6 min
August 12, 2024

Articles Posted in the Month (August 2024)

SPR Based Biosensing Chip for COVID-19 Diagnosis-A Review

Author: Purnendu Shekhar Pandey, Sanjeev Kumar Raghuwanshi, Azhar Shadab, Md Tauseef Iqbal Ansari, Umesh Kumar Tiwari, Santosh Kumar
Published in: IEEE Sensors Journal (Volume: 22, Issue: 14, July 2022)
Summary Contributed by:  Anupama
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) requires rapid and accurate detection to control its spread. When COVID-19, a disease caused by the SARS-CoV-2 virus, became a Global pandemic, a novel method for fast identification of the new coronavirus was developed using Surface Plasmon Resonance (SPR) techniques. This paper reviews the potential of SPR-based biosensing chips and sensors for portable devices to rapidly and accurately detect the SARS-CoV-2 virus.
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5 min
August 6, 2024

Articles Posted in the Month (July 2024)

Balanced Adaptation Regularization Based Transfer Learning for Unsupervised Cross-Domain Fault Diagnosis

Author: Qin Hu, Xiaosheng Si, Aisong Qin, Yunrong Lv, Mei Liu
Published in: IEEE Sensors Journal (Volume: 22, Issue: 12, June 2022)
Summary Contributed by:  Qin Hu (Author)
Fault diagnosis technology for rolling bearings is crucial for preventing mechanical accidents. In the field of fault diagnosis, inconsistent data distribution due to variable working conditions hampers diagnostic accuracy. This study proposes a novel method, Balanced Adaptation Regularization-based Transfer Learning (BARTL), leveraging enhanced multi-scale sample entropies. BARTL improves feature discriminability and similarity across conditions, achieving accurate diagnosis and surpassing existing transfer learning methods, as validated by two public datasets.
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5 min
July 29, 2024

Articles Posted in the Month (July 2024)

Deep Transfer Learning With Self-Attention for Industry Sensor Fusion Tasks

Author: Ze Zhang, Michael Farnsworth, Boyang Song, Divya Tiwari, Ashutosh Tiwari
Published in: IEEE Sensors Journal (Volume: 22, Issue: 15, August 2022)
Summary Contributed by:  Anupama
The paper introduces a promising approach using deep transfer learning techniques to address the challenges in processing multisource, heterogeneous data in Industry 4.0. By repurposing a Transformer model pre-trained from data-rich natural language domain, the proposed method allows industrial applications to leverage deep learning capabilities with minimal training data requirements. It represents a significant step toward making Industry 4.0 more efficient, faster, and cost effective.
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5 min
July 22, 2024

Articles Posted in the Month (July 2024)

A Textile Proximity/Pressure Dual-Mode Sensor Based on Magneto-Straining and Piezoresistive Effects

Author: Weiguan Zhang, Qinhua Guo, Yu Duan, Chenyang Xing, Zhengchun Peng
Published in: IEEE Sensors Journal (Volume: 22, Issue: 11, June 2022)
Summary Contributed by:  Weiguan Zhang (Author)
In smart control of robots, proximity and pressure information complement each other in detecting objects from approach to contact. Using a simple and cost-effective fabrication method, the researchers developed a textile-based sensor combining magneto-straining (proximity) and piezoresistive modes (pressure). This sensor exhibits high sensitivity for proximity and pressure perception. The unique design offers a seamless transition between modes, making it suitable for applications in human-machine interaction and intelligent prosthetics.
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4 min
July 15, 2024

Articles Posted in the Month (July 2024)

Usage of IR Sensors in the HVAC Systems, Vehicle and Manufacturing Industries: A Review

Author: Muhammad Adeel Altaf, Jongsik Ahn, Danish Khan, Min Young Kim
Published in: IEEE Sensors Journal (Volume: 22, Issue: 10, May 2022)
Summary Contributed by:  Kamalesh Tripathy
Thermal sensors are used in various industries to measure temperature and convert it into a readable output. Its selection depends on cost, resolution, and accuracy, which are crucial factors to consider when designing the sensor system. This paper explores the significance of infrared sensors as thermal sensors in detecting temperature, movement, and occupancy. It reviews the use of thermal sensors in HVAC (Heating, ventilation, and air conditioning) systems, vehicles, and manufacturing industries.
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5 min
July 8, 2024

Articles Posted in the Month (July 2024)

Self-Supervised Monocular Depth Estimation Using Hybrid Transformer Encoder

Author: Seung-Jun Hwang, Sung-Jun Park, Joong-Hwan Baek, Byungkyu Kim
Published in: IEEE Sensors Journal (Volume: 22, Issue: 19, October 2022)
Summary Contributed by:  Seung-Jun Hwang (Author)
Depth estimation using camera sensors is vital in autonomous driving, robotics, 3D scene reconstruction, and augmented reality. This paper presents a novel method for monocular-camera depth estimation using a hybrid transformer encoder-decoder. The self-supervised view synthesis method used eliminates the need for depth supervision. It uses a cost-volume structure, combining neural network and transformer architectures for accurate depth prediction. The system enhances global feature representation with an attention decoder, improving depth estimation accuracy.
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5 min
July 1, 2024

Articles Posted in the Month (June 2024)

A CMOS Algae Growth Period Monitor for Algaculture Applications

Author: Cheng-Ta Chiang; Chun-Yao Nien; Chia-Ying Yang; Shu-Mei Chen
Published in: IEEE Sensors Journal (Volume: 22, Issue: 20, October 2022)
Summary Contributed by:  Saurabh Dubey
The CMOS Algae Growth Period Monitor, consisting of an algae sensor and a CMOS converter, is a cutting-edge solution for monitoring algae growth in algaculture applications. It utilizes a proton exchange membrane to translate algae growth data into a duty cycle, facilitating rapid assessment. With increased sensitivity, it functions in suboptimal conditions and has a maximum linear error of only 0.49%.  Integration with IoT technology holds potential applications in the advanced monitoring of aquatic life.
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5 min
June 24, 2024

Articles Posted in the Month (June 2024)

Joint Hybrid 3D Beamforming Relying on Sensor-Based Training for Reconfigurable Intelligent Surface Aided TeraHertz-Based Multiuser Massive MIMO Systems

Author: Xufang Wang, Zihuai Lin, Feng Lin, Lajos Hanzo
Published in: IEEE Sensors Journal (Volume: 22, Issue: 14, July 2022)
Summary Contributed by:  Zihuai Lin (Author)
The Terahertz (THz) era promises lightning-fast internet but faces challenges like signal degradation over distances. The paper introduces a joint 3D-beamformer for THz Multi-user Massive multiple-input multiple-output (MIMO) systems, leveraging Reconfigurable Intelligent Surfaces to improve signal strength and coverage. The system uses smart sensing to beam signals directly to devices, promising unparalleled speeds and connection stability, even in crowded spaces. Scalable and adaptable, the proposed architecture is the future of connectivity.
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5 min
June 17, 2024

Articles Posted in the Month (June 2024)

OFET and OECT, Two Types of Organic Thin-Film Transistor Used in Glucose and DNA Biosensors: A Review

Author: Xin Ma, Hongquan Chen, Peiwen Zhang, Martin C. Hartel, Xiaona Cao, Sibel Emir Diltemiz, Qinglei Zhang, Javed Iqbal, Natan Roberto de Barros, Liyan Liu, Hao Liu
Published in: IEEE Sensors Journal (Volume: 22, Issue: 12, June 2022)
Summary Contributed by:  Anupama
Diabetes leads to serious health challenges and is a leading cause of numerous chronic diseases. This study explores electronics-based biosensors, particularly Organic Field Effect Transistors (OFET) and Organic Electrochemical Transistors (OECT), as adept glucose and DNA biosensors in diabetes management. The biosensors, fabricated from biodegradable natural materials, offer a flexible, cost-effective, and easily accessible solution, showcasing exceptional sensitivity and selectivity in their performance.
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5 min
June 10, 2024

Articles Posted in the Month (June 2024)

Concentrated Coverage Path Planning Algorithm of UAV Formation for Aerial Photography

Author: Yi Cao, Xianghong Cheng, Jinzhen Mu
Published in: IEEE Sensors Journal (Volume: 22, Issue: 11, June 2022)
Summary Contributed by:  Yi Cao (Author)
Ensuring successful aerial photography requires effective coverage path planning for UAVs. However, complexities in outdoor spaces pose challenges, necessitating innovative solutions. This paper introduces a novel concentrated coverage path planning algorithm, revolutionizing traditional probabilistic roadmap methods. Integrating round-trip mode and path constraints optimizes coverage while minimizing computational complexity and repetitions. The approach enhances efficiency and feasibility in real-world environments, promising to redefine aerial photography landscapes.
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4 min
June 3, 2024

Articles Posted in the Month (May 2024)

Real-Time Deep Anomaly Detection Framework for Multivariate Time-Series Data in Industrial IoT

Author: Hussain Nizam, Samra Zafar, Zefeng Lv, Fan Wang, Xiaopeng Hu
Published in: IEEE Sensors Journal (Volume: 22, Issue: 23, December 2022)
Summary Contributed by:  Payal Savani
In the realm of smart machines and interconnected devices, the Industrial Internet of Things (IIoT) is ushering in a revolution across industries. Due to a constant stream of diverse and time-stamped data, real-time anomaly detection becomes paramount for industrial process improvement. The article explores a hybrid deep anomaly detection (DAD) model that could accurately identify real-time anomalies. Experimental results showcase its superior performance in terms of accuracy and precision over existing methods.
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5 min
May 27, 2024

Articles Posted in the Month (May 2024)

Deep Learning Approach for Detecting Work-Related Stress Using Multimodal Signals

Author: Wonju Seo, Namho Kim, Cheolsoo Park, Sung-Min Park
Published in: IEEE Sensors Journal (Volume: 22, Issue: 12, June 2022)
Summary Contributed by:  Cheolsoo Park (Author)
Work-related stress should be detected and managed to avoid adverse impacts on individuals and society. This study proposes a deep learning approach to detect work-related stress automatically by analyzing multimodal signals. Deep neural networks, facial expressions, and physiological signals were fused at different levels to achieve promising accuracy. The novel approach of studying the level of work-related stress with just a 10-second-long electrocardiogram, respiration, and facial images shows potential for effective stress detection.
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5 min
May 20, 2024

Articles Posted in the Month (May 2024)

Research on Self-Powered Coded Angle Sensor for Rock Climbing Training

Author: Jun Zhang, Chuan Wu
Published in: IEEE Sensors Journal (Volume: 22, Issue: 18, September 2022)
Summary Contributed by:  Payal Savani
Rock climbing is an adventure or competitive sport in which monitoring speed is vital. It is measured using an angle sensor entangled with climbers, causing safety concerns. The self-powered angle sensor offers a practical alternative to conventional rock-climbing sensors. The proposed self-powered coded angle sensors based on a single-electrode triboelectric nanogenerator can accurately measure the rotation angle, direction, and speed in indoor and outdoor climbing, even without a power supply.
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4 min
May 13, 2024

Articles Posted in the Month (May 2024)

Hallway Gait Monitoring Using Novel Radar Signal Processing and Unsupervised Learning

Author: Hajar Abedi, Jennifer Boger, Plinio P. Morita, Alexander Wong, George Shaker
Published in: IEEE Sensors Journal (Volume: 22, Issue: 15, August 2022)
Summary Contributed by:  Hajar Abedi (Author)
The novel hallway gait monitoring system developed leveraging radar signal processing and unsupervised machine learning introduces the future of personalized gait monitoring of individuals without wearable devices. It aims to create a system capable of monitoring human gait indoors and in natural settings using radar technology. This breakthrough architecture offers non-invasive and precise monitoring, paving the way for enhanced patient care and personal health insights.
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5 min
May 6, 2024

Articles Posted in the Month (April 2024)

Value of Information in Wireless Sensor Network Applications and the IoT: A Review

Author: Faiga Alawad, Frank Alexander Kraemer
Published in: IEEE Sensors Journal (Volume: 22, Issue: 10, May 2022)
Summary Contributed by:  Anupama
The Value of Information (VoI) is crucial in handling large data volumes in the Industrial Internet of Things (IIoT), filtering redundant information, and optimizing data processes. It is a key metric influencing path-planning algorithms, source switching, and trajectory optimization in mobile sensors. The paper systematically reviews VoI definitions, categorizing valuation methods and performance across applications, and provides guidelines for parameterized and adaptable VoI techniques to optimize diverse systems.
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5 min
April 29, 2024

Articles Posted in the Month (April 2024)

Video Hand Gestures Recognition Using Depth Camera and Lightweight CNN

Author: David González León, Jade Gröli, Sreenivasa Reddy Yeduri, Daniel Rossier, Romuald Mosqueron, Om Jee Pandey, Linga Reddy Cenkeramaddi,
Published in: IEEE Sensors Journal (Volume: 22, Issue: 14, July 2022)
Summary Contributed by:  Linga Reddy Cenkeramaddi (Author)
Hand gesture recognition has become an integral part of Human-Computer Interactions. The paper introduces a methodology using a video-based dataset and convolutional neural network (CNN) model. It utilizes an RGB-Depth camera to create a dataset of six distinct hand gestures. A lightweight CNN model is then developed to detect and classify hand movements. The experimental results highlight its accuracy and efficiency, facilitating its practical use in scenarios demanding precise gesture recognition.
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5 min
April 22, 2024

Articles Posted in the Month (April 2024)

Non-Enzymatic Glucose Detection Based on GO/Ag Nanocomposite in SiO2 Trench Embedded Field Effect Transistor

Author: Monica Naorem, Roy P. Paily
Published in: IEEE Sensors Journal (Volume: 22, Issue: 16, August 2022)
Summary Contributed by:  Saurabh Dubey
SiO2 trench-embedded Field Effect Transistors (FET) with a graphene oxide-silver ( GO/Ag) nanocomposite for non-enzymatic glucose detection are crucial for effective diabetes management by accurately monitoring glucose concentration range of 1 μM to 10 mM. Validated through structural analysis, the fabricated device structure exhibits excellent glucose storage and sensing abilities, ensuring stability, reproducibility, and selectivity. Compact and easy to produce, it has promising applications in portable glucose sensors for point-of-care diagnostics and healthcare.
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5 min
April 15, 2024

Articles Posted in the Month (April 2024)

An EEG Data Processing Approach for Emotion Recognition

Author: Guofa Li, Delin Ouyang, Yufei Yuan, Wenbo Li, Zizheng Guo, Xingda Qu, Paul Green
Published in: IEEE Sensors Journal (Volume: 22, Issue: 11, June 2022)
Summary Contributed by:  Yufei Yuan (Author)
Emotion recognition has garnered interest from researchers because of its importance in affective computing. Facial expressions can mask human emotions. However, studies show that electroencephalogram (EEG) signals can recognize and identify human emotions. Hence, EEG has emerged as an alternate method for emotion recognition. The paper proposes a novel approach through a reduced number of EEG electrode channels and a normalization method, demonstrating its promising applications in real-time emotion recognition.
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5 min
April 8, 2024

Articles Posted in the Month (April 2024)

Technologies Driving the Shift to Smart Farming: A Review

Author: Nabila ElBeheiry, Robert S. Balog
Published in: IEEE Sensors Journal (Volume: 23, Issue: 3, February 2023)
Summary Contributed by:  Vinay S Palaparthy
Agriculture requires sustainable solutions, especially when facing challenges like climate change, unqualified farmers, and urbanization. Smart farming (SF) helps enhance crop quality and quantity with minimal labor, ensuring sustainable agriculture and consistent food supply to meet the global food demand. This survey includes various themes like sensors, communication, big data, actuators, and data analysis. The article emphasizes integrating multiple technologies, highlighting popular SF systems: remote monitoring, autonomous, and intelligent decision-making.
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5 min
April 1, 2024

Articles Posted in the Month (March 2024)

Micro-Optical Line Generator Metalens for a Visible Wavelength Based on Octagonal Nanopillars Made of Single-Crystalline Silicon

Author: Satoshi Ikezawa, Ryota Yamada, Kosuke Takaki, Chikara Ogawa, Kentaro Iwami
Published in: IEEE Sensors Journal (Volume: 22, Issue: 15, August 2022)
Summary Contributed by:  Satoshi Ikezawa (Author)
Material selection is crucial when designing and fabricating metasurfaces. The metasurface optical element produces a tightly focused beam from a visible laser, thus maximizing light utilization and minimizing energy loss. This study focuses on enhancing metasurface microfabrication precision and achieving remarkable light transmittance through traditionally impermeable silicon, providing opportunities for developing miniature wearable technology, cameras, and augmented reality (AR) devices and has significant implications for micro-scanning within confined spatial domains.
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5 min
March 25, 2024

Articles Posted in the Month (March 2024)

E-Nose System Based on Fourier Series for Gases Identification and Concentration Estimation From Food Spoilage

Author: Jie Luo, Zehao Zhu, Wen Lv, Jian Wu, Jianhua Yang, Min Zeng, Nantao Hu, Yanjie Su, Ruili Liu, Zhi Yang
Published in: IEEE Sensors Journal (Volume: 23, Issue: 4, February 2023)
Summary Contributed by:  Leena Jha
Improper and prolonged storage of perishable food items like meat and fruits may lead to microbial contamination and spoilage. The paper presents an electronic nose (EN) system, a portable electronic gas-sensing device comprising a sensor array-based gas identification, concentration estimation system, and data acquisition circuit boards. A machine learning algorithm assists it. It accurately detects gases like ammonia (NH3), hydrogen sulphide (H2S), and ethanol (C2H5OH) emitted by spoiled food.
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5 min
March 18, 2024

Articles Posted in the Month (March 2024)

Monolithic Sensor Integration in CMOS Technologies

Author: Daniel Fernández, Piotr Michalik, Juan Valle, Saoni Banerji, Josep Maria Sánchez-Chiva, Jordi Madrenas
Published in: IEEE Sensors Journal (Volume: 23, Issue: 2, January 2023)
Summary Contributed by:  Daniel Fernández (Author)
In the wearable market, where the area is a limiting factor, monolithic sensor integration with mainstream gadget electronics can provide an efficient means to archive a small device footprint while maintaining good performance. For a minimum cost, CMOS-MEMS devices built using backend-of-line (BEOL) interconnections as structural material offer an interesting, cost-effective approach with the potential to become a market game-changer.
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5 min
March 11, 2024

Articles Posted in the Month (March 2024)

An Improved YOLOv5 Crack Detection Method Combined With Transformer

Author: Xuezhi Xiang, Zhiyuan Wang, Yulong Qiao
Published in: IEEE Sensors Journal (Volume: 22, Issue: 14, July 2022)
Summary Contributed by:  Kamalesh Tripathy
A robust pavement crack detection network is imperative to mitigate traffic accidents and minimize maintenance costs. The paper proposed an efficient hybrid model by merging YOLOv5 and Transformer, utilizing one-stage architecture and long-range dependency capture for reliable crack detection. The network's performance is further improved using test time augmentation (TTA) for crack detection. An efficient solution for urban pavement damage detection, it paves the way for expanding datasets to tackle diverse pavement issues.
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5 min
March 4, 2024

Articles Posted in the Month (February 2024)

Angle-Insensitive Human Motion and Posture Recognition Based on 4D Imaging Radar and Deep Learning Classifiers

Author: Yubin Zhao, Alexander Yarovoy, Francesco Fioranelli
Published in: IEEE Sensors Journal (Volume: 22, Issue: 12, June 2022)
Summary Contributed by:  Francesco Fioranelli (Author)
Human Activity Recognition (HAR) is crucial to support the needs of an aging population. The paper proposes a new method for HAR using 4D imaging radars. The technique combines point cloud and spectrogram data to capture the spatial and temporal features of the activities. The method is tested on an experimental dataset and performs better than existing alternatives.
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5 min
February 26, 2024

Articles Posted in the Month (February 2024)

Gait-Based Person Identification and Intruder Detection Using mm-Wave Sensing in Multi-Person Scenario

Author: Zhongfei Ni, Binke Huang
Published in: IEEE Sensors Journal (Volume: 22, Issue: 10, May 2022)
Summary Contributed by:  Saurabh Dubey
MGait is a multi-person identification and intruder detection system that utilizes mm-wave sensing to identify users based on gait micro-Doppler (m-D) signatures. Individuals are continuously tracked in indoor scenarios using low-cost mm-wave radars in range-Doppler (R-D) space frame by frame to extract their distinct gait signatures. Trained in a deep learning-based Gaussian mixture loss model, MGait is a promising solution for biometrics and has wide applications in health and security.
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5 min
February 19, 2024

Articles Posted in the Month (February 2024)

Design Methodology for Industrial Internet-of-Things Wireless Systems

Author: Carlos Mendes da Costa, Peter Baltus
Published in: IEEE Sensors Journal (Volume: 21, Issue: 4, February 2021)
Summary Contributed by:  Payal Savani
The rise in Internet of Things (IoT) usage in industrial applications requires robust wireless systems. The researchers proposed an innovative approach for designing low-latency, power-efficient, and reliable wireless systems. This paper comprehensively studies system requirements, hardware, and architecture for optimal design choices. The prototype design was validated through practical experiments. It demonstrates superior performance compared to existing wireless standards.
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4 min
February 12, 2024

Articles Posted in the Month (February 2024)

Online Learning for Active Odor Sensing Based on a QCM Gas Sensor Array and an Odor Blender

Author: Manuel Aleixandre, Takamichi Nakamoto
Published in: IEEE Sensors Journal (Volume: 22, Issue: 23, December 2022)
Summary Contributed by:  Manuel Aleixandre (Author)
This work presents an active odor sensing system that blends odorous ingredients, iteratively adjusting their mix ratios to match the sensor response of a target scent. Online learning adapts the sensor model parameters in real-time, optimizing the control loop to compensate for drift and humidity variations. It improves the accuracy and robustness despite the inherent limitations of gas sensors.
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4 min
February 5, 2024

Articles Posted in the Month (January 2024)

Research of Low-Power MEMS-Based Micro Hotplates Gas Sensor: A Review

Author: Zhenyu Yuan, Fan Yang, Fanli Meng, Kaiyuan Zuo, Jin Li
Published in: IEEE Sensors Journal (Volume: 21, Issue: 17, September 2021)
Summary Contributed by:  Anupama
The MEMS-based micro hotplate gas sensors are small and mass-producible with excellent performance compared to traditional ceramic tube sensors. Energy efficiency is a crucial parameter of portable, reliable sensors. Heat loss significantly increases the power consumption of hotplates. To optimize energy consumption and efficiency, an analytical study of heat loss in different parts of sensor parts and their remedies through fabrication methods is presented.
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5 min
January 29, 2024

Articles Posted in the Month (January 2024)

Advances in Nanocomposite Thin-Film-Based Optical Fiber Sensors for Environmental Health Monitoring-A Review

Author: Vikash Kumar, Sanjeev Kumar Raghuwanshi, Santosh Kumar
Published in: IEEE Sensors Journal (Volume: 22, Issue: 15, August 2022)
Summary Contributed by:  Saurabh Dubey
Scientific and technological advancement has increased the risk of environmental pollutants like chemicals, heavy metals, and toxic gases, thus affecting human health. The need is to detect the contaminants at the source for corrective measures. This paper discusses the sensitivity, selectivity, response time, recovery time, and repeatability of nanocomposite thin-film-based optical fiber sensors coated with metal oxide semiconductors, polymers, metals, carbon nanotubes, graphene, etc., in relation to monitoring environmental health.
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5 min
January 22, 2024

Articles Posted in the Month (January 2024)

Wireless Communication and Power Harvesting in Wearable Contact Lens Sensors

Author: Mengyao Yuan, Rupam Das, Eve McGlynn, Rami Ghannam, Qammer H. Abbasi, Hadi Heidari
Published in: IEEE Sensors Journal (Volume: 21, Issue: 11, June 2021)
Summary Contributed by:  Anupama
Our corneal surface and tears make an excellent alternative to blood as a source of biomarkers. Incorporating sensors into contact lenses could provide a convenient, non-invasive platform for continuously detecting and monitoring diseases like glaucoma, diabetes, and heart disease. Researchers explored current technologies for sensing materials, energy, and data transmission techniques in electronic contact lens sensors. The study systematically explores the challenges and future trends.
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5 min
January 15, 2024

Articles Posted in the Month (January 2024)

Radar System for Detecting Respiration Vital Sign of Live Victim Behind the Wall

Author: Aloysius Adya Pramudita, Ding-Bing Lin, Sung-Nien Hsieh, Erfansyah Ali, Harfan Hian Ryanu, Tjahjo Adiprabowo, Ariana Tulus Purnomo
Published in: IEEE Sensors Journal (Volume: 22, Issue: 15, August 2022)
Summary Contributed by:  Aloysius Adya Pramudita (Author)
Technology to detect signs of life under rubble could save lives. The study proposes a novel radar system with a two-step computation model for detecting live victim's vital signs behind or under obstructions. The first step is to establish a region of interest and identify obstacles. The second step detects respiratory vital signs patterns through time-varying phase data. Experimental demonstration of the proposed system shows significant accuracy in detecting live victims.
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5 min
January 8, 2024

Articles Posted in the Month (January 2024)

Sensor-Driven Achieving of Smart Living: A Review

Author: Pitshaporn Leelaarporn, Patcharapol Wachiraphan, Thitikorn Kaewlee, Tinnakit Udsa, Rattanaphon Chaisaen, Tanut Choksatchawathi, Rawipreeya Laosirirat, Payongkit Lakhan, Phantharach Natnithikarat, Kamonwan Thanontip, Wei Chen, Subhas Chandra Mukhopadhyay, Theerawit Wilaiprasitporn
Published in: IEEE Sensors Journal (Volume: 21, Issue: 9, May 2021)
Summary Contributed by:  Payal Savani
Sensors have been pivotal in making human life comfortable. Sensor technology offers many research opportunities for innovations, contributing to smart living. Here the authors have streamlined the latest literature in the field, providing an overview of sensors and their role in our lives. The article summarizes research into four main sensor-based applications: fitness tracking, emotions analysis, sleep tracking, and food intake monitoring.
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5 min
January 1, 2024

Articles Posted in the Month (December 2023)

MS-YOLO: Object Detection Based on YOLOv5 Optimized Fusion Millimeter-Wave Radar and Machine Vision

Author: Yunyun Song, Zhengyu Xie, Xinwei Wang, Yingquan Zou
Published in: IEEE Sensors Journal (Volume: 22, Issue: 15, August 2022)
Summary Contributed by:  Yingquan Zou (Author)
Multi-sensor fusion is becoming an increasingly crucial part of the environmental perception system in autonomous driving. Experience the cutting-edge fusion of millimeter-wave radar and machine vision in the proposed MS-YOLO, powered by You Only Look Once (YOLOv5) algorithm. The proposed fusion model offers exceptional accuracy in detecting objects and provides immediate real-time insights regardless of light and weather conditions.
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5 min
December 25, 2023

Articles Posted in the Month (December 2023)

BabyPose: Real-Time Decoding of Baby’s Non-Verbal Communication Using 2D Video-Based Pose Estimation

Author: M. Mücahit Enes Yurtsever, Süleyman Eken
Published in: IEEE Sensors Journal (Volume: 22, Issue: 14, July 2022)
Summary Contributed by:  Saurabh Dubey
Decoding or understanding non-verbal communication forms in babies is paramount to parents. These forms are expressed in various poses and body-language signals, which can be interpreted using a Human Pose Estimation method. Babies are tracked in real-time using 2D videos. Pose estimators that model these poses into keypoints are then employed to recognize and monitor these activities. This study delves into these estimation models that interpret baby poses with 99% accuracy.
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5 min
December 18, 2023

Articles Posted in the Month (December 2023)

Hardware Technology of Vision-Based Tactile Sensor: A Review

Author: Shixin Zhang, Zixi Chen, Yuan Gao, Weiwei Wan, Jianhua Shan, Hongxiang Xue, Fuchun Sun, Yiyong Yang, Bin Fang
Published in: IEEE Sensors Journal (Volume: 22, Issue: 22, November 2022)
Summary Contributed by:  Shixin Zhang (Author)
Vision-based tactile sensors (VBTS) are attracting attention for their application in robotics. As an innovative optical sensor, VBTS leverages tactile sensing to enhance the interpretation and utilization tactile information. The paper presents an overview of the hardware aspects of VBTS, including their technology, capabilities, challenges, and potential solutions. It provides insightful guidelines for optimizing the design and fabrication processes of VBTS to improve their performance.
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5 min
December 11, 2023

Articles Posted in the Month (December 2023)

Smart Healthcare: RL-Based Task Offloading Scheme for Edge-Enable Sensor Networks

Author: Rahul Yadav, Weizhe Zhang, Ibrahim A. Elgendy, Guozhong Dong, Muhammad Shafiq, Asif Ali Laghari, Shiv Prakash
Published in: IEEE Sensors Journal (Volume: 21, Issue: 22, November 2021)
Summary Contributed by:  Anupama
Smart healthcare systems produce massive data, which is challenging to manage. The Internet of Medical Things (IoMT) and Artificial intelligence (AI) based smart healthcare systems and applications have shown potential in intelligent and accurate data management and support healthcare. While the edge-enabled network provides necessary computational resources to deal with enormous data, the proposed Computation Offloading using Reinforcement Learning (CORL) algorithm minimizes total latency and energy consumption.
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5 min
December 4, 2023

Articles Posted in the Month (November 2023)

A Radar-Based Human Activity Recognition Using a Novel 3-D Point Cloud Classifier

Author: Zheqi Yu, Ahmad Taha, William Taylor, Adnan Zahid, Khalid Rajab, Hadi Heidari, Muhammad Ali Imran, Qammer H. Abbasi
Published in: IEEE Sensors Journal (Volume: 22, Issue: 19, October 2022)
Summary Contributed by:  William Taylor (Author)
Wearable sensors for human activity recognition (HAR) have many uses, especially in health, surveillances and man-machine conversation. Technological advancements have enabled non-invasive, contactless sensing methods to detect human activities. However, insufficient training data severely affects the performance of HAR applications. The paper discusses the dataset collection using 3-D  cloud point technology and deep learning algorithms to classify the dataset, which will enable a transition from wearable to contactless sensing.
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6 min
November 27, 2023

Articles Posted in the Month (November 2023)

Wide-Range Flexible Capacitive Pressure Sensors Based on Origami Structure

Author: Xueyang Liu, Chuanliang Li, Zhentao Wang, Yifeng Li, Jianqiu Huang, Huiyang Yu
Published in: IEEE Sensors Journal (Volume: 21, Issue: 8, April 2021)
Summary Contributed by:  Laxmeesha Somappa
Origami is the art of paper folding to create a two-dimensional and three-dimensional sculpture. Inspired by this art, the researchers developed a flexible pressure sensor, which finds various applications in wearable devices and healthcare products. The origami structure inherently offers higher sensitivity and measurement range. These pressure sensors can easily be fabricated with 3-D printing technology, making them low-cost and enabling mass production.
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5 min
November 20, 2023

Articles Posted in the Month (November 2023)

Data Fusion Based on Temperature Monitoring of Aquaculture Ponds With Wireless Sensor Networks

Author: Haohui Chen, Xinyuan Nan, Sibo Xia
Published in: IEEE Sensors Journal (Volume: 23, Issue: 1, January 2023)
Summary Contributed by:  Haohui Chen (author)
Aquaculture is the farming of aquatic animals and plants in a controlled environment. The water temperature is a vital environmental factor that affects the water quality and life of the aquatic species. The paper proposes an effective real-time aquaculture temperature monitoring method through a layered and clustered wireless sensor networks (WSNs) framework. It is more effective in temperature monitoring with improved accuracy in comparison to the traditional monitoring methods.
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6 min
November 13, 2023

Articles Posted in the Month (November 2023)

Image-Based Force Estimation in Medical Applications: A Review

Author: Ali A. Nazari, Farrokh Janabi-Sharifi, Kourosh Zareinia
Published in: IEEE Sensors Journal (Volume: 21, Issue: 7, April 2021)
Summary Contributed by:  Anupama
Precise, real-time force estimation is still an ongoing challenge in minimally invasive robotic surgical (MIRS) interventions. The applied force depends on the size and deformity of the tissue. Advanced imaging techniques and deep-learning algorithms provide efficient object recognition and force estimation in MIRS. The researchers present a comprehensive review of image-based force estimation techniques for MIRS haptic force feedback.
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5 min
November 6, 2023

Articles Posted in the Month (October 2023)

Wireless Channel Modelling for Identifying Six Types of Respiratory Patterns With SDR Sensing and Deep Multilayer Perceptron

Author: Umer Saeed, Syed Yaseen Shah, Adnan Zahid, Jawad Ahmad, Muhammad Ali Imran, Qammer H. Abbasi, Syed Aziz Shah
Published in: IEEE Sensors Journal (Volume: 21, Issue: 18, September 2021)
Summary Contributed by:  Kamalesh Tripathy
The COVID-19 pandemic highlighted the need for contactless respiration monitoring systems. A software-defined radio frequency sensing technique integrated with a deep learning algorithm was proposed for the non-invasive monitoring of various breathing patterns. The system used variations in channel state information produced by human motions to identify six distinct respiratory patterns. The prototype could classify these respiratory patterns with up to 99% accuracy.
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5 min
October 30, 2023

Articles Posted in the Month (October 2023)

On the Detection of Unauthorized Drones—Techniques and Future Perspectives: A Review

Author: Muhammad Asif Khan, Hamid Menouar, Aisha Eldeeb, Adnan Abu-Dayya, Flora D. Salim
Published in: IEEE Sensors Journal (Volume: 22, Issue: 12, June 2022)
Summary Contributed by:  Muhammad Asif Khan (Author)
The increasing number of commercial drones poses severe threats to the security of critical infrastructure and people’s privacy. A drone detection system thus becomes inevitable to detect unauthorized drones in the low altitude airspace. This paper delves into the various aspects of an efficient, reliable, robust, and scalable drone detection system by investigating the four fundamental technologies and the associated challenges and limitations.
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4 min
October 23, 2023

Articles Posted in the Month (October 2023)

Inkjet-Printed, Nanofiber-Based Soft Capacitive Pressure Sensors for Tactile Sensing

Author: Riikka Mikkonen, Anastasia Koivikko, Tiina Vuorinen, Veikko Sariola, Matti Mäntysalo
Published in: IEEE Sensors Journal (Volume: 21, Issue: 23, December 2021)
Summary Contributed by:  Anupama
Soft electronics enable lighter and more flexible human-machine interfaces. Learn about an inexpensive, additive approach to fabricating flexible, soft electronics using inkjet printing. Inkjet-printed micro-structured dielectric layers were sandwiched between conductive mesh electrodes to form the capacitive tactile pressure sensors. The sensor exhibits high sensitivity, long-term repeatability, and low hysteresis. The proposed approach can fabricate inexpensive, customizable soft electronics human-machine interfaces.
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5 min
October 16, 2023

Articles Posted in the Month (October 2023)

Precise Detection and Quantitative Prediction of Blood Glucose Level With an Electronic Nose System

Author: Zhenyi Ye, Jie Wang, Hao Hua, Xiangdong Zhou, Qiliang Li
Published in: IEEE Sensors Journal (Volume: 22, Issue: 13, July 2022)
Summary Contributed by:  Zhenyi Ye (Author)
Monitoring blood glucose levels after exercise, diet, and medication is vital, especially in people with diabetes. A low-cost, no-pain glucose measurement method outside clinical settings for diabetes patients is essential. The work presents a non-invasive glucose measurement method using a novel electronic nose (E-Nose) device enabled by the machine learning algorithm. The proposed method is capable of precise qualitative glucose identification and quantitative analysis.
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5 min
October 9, 2023

Articles Posted in the Month (October 2023)

Towards Precision Agriculture: IoT-Enabled Intelligent Irrigation Systems Using Deep Learning Neural Network

Author: Pankaj Kumar Kashyap, Sushil Kumar, Ankita Jaiswal, Mukesh Prasad, Amir H. Gandomi
Published in: IEEE Sensors Journal (Volume: 21, Issue: 16, August 2021)
Summary Contributed by:  Vinay S Palaparthy
Smart and precise irrigation planning plays a crucial role in preventing excess water usage and waste. Various machine learning-based irrigation models have been proposed. However, the proposed models should consider unpredictable climate changes. The researchers propose an intelligent neural network model considering the historical temporal dynamics of soil and climate. The prototype efficiently predicts volumetric water demand one day in advance.
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5 min
October 2, 2023

Articles Posted in the Month (September 2023)

Toward a Bio-Inspired Acoustic Sensor: Achroia grisella’s Ear

Author: Lara Díaz-García, Andrew Reid, Joseph C. Jackson-Camargo, James F. C. Windmill
Published in: IEEE Sensors Journal (Volume: 22, Issue: 18, September 2022)
Summary Contributed by:  Lara Díaz García (Author)
Taking inspiration from nature can be advantageous when facing challenges in engineering and technology. The researchers overcame one such challenge of manufacturing miniature directional acoustic sensors by studying Achroia grisella, a small moth capable of directional hearing using one ear. Inspired by the shape of the moth eardrum, equations, simulations, and passive directional 3D printed samples were developed and examined with Laser Doppler Vibrometry.
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5 min
September 25, 2023

Articles Posted in the Month (September 2023)

An Implantable Antenna Sensor for Medical Applications

Author: Wei Wang, Xiu-Wei Xuan, Wan-Yi Zhao, Hong-Kuai Nie
Published in: IEEE Sensors Journal (Volume: 21, Issue: 13, July 2021)
Summary Contributed by:  Payal Savani
Emerging technologies have led to the development of implantable medical devices, providing new methods for diagnosing and treating diseases. The researchers present a sensor prototype with an S-shaped monopole antenna with a closed-loop design. The prototype outperforms concurrent implantable devices concerning size, radiation gain, and sensitivity. The proposed sensor offers a minimally invasive way to monitor and diagnose cancer tumors and can save countless lives.
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5 min
September 18, 2023

Articles Posted in the Month (September 2023)

Smart Bandage With Wireless Strain and Temperature Sensors and Batteryless NFC Tag

Author: Pablo Escobedo, Mitradip Bhattacharjee, Fatemeh Nikbakhtnasrabadi, Ravinder Dahiya
Published in: IEEE Internet of Things Journal (Volume: 8, Issue: 6, March 2021)
Summary Contributed by:  Mitradip Bhattacharjee (Author)
Smart bandages can accelerate healing, avoiding infections of severe injuries or surgical wounds by real-time wound assessments. The wound’s healing state can be predicted by tracking parameters like temperature, pressure, pH, and acidity. A smart bandage prototype embedded with wireless temperature and pressure sensors based on a conductive polymer, PEDOT: PSS (poly(3,4-ethylenedioxythiophene) polystyrene sulfonate), and an NFC (Near-field communication) tag is proposed. This battery-less system provides a cost-effective alternative for medical applications.
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5 min
September 11, 2023

Articles Posted in the Month (September 2023)

Metal-Organic Framework Materials Coupled to Optical Fibers for Chemical Sensing: A Review

Author: Chen Zhu, Rex E. Gerald, Jie Huang
Published in: IEEE Sensors Journal (Volume: 21, Issue: 18, September 2021)
Summary Contributed by:  Dayarnab Baidya
Metal-Organic Frameworks (MOFs) are crystalline nano-porous materials composed of inorganic metal nodes incorporated with organic ligands. Their remarkable structural and physicochemical tunability makes them superior to conventional chemo-sensory materials. The researcher presented a review of MOF-Optical fiber (OF) sensors based on a change in refractive index induced by adsorbed guest molecules. It demonstrated the promising potential of MOFs as dielectric coatings on OF for highly sensitive and selective chemical sensing.
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5 min
September 4, 2023

Articles Posted in the Month (August 2023)

Wireless Characterization and Assessment of an UWB-Based System in Industrial Environments

Author: Imanol Picallo Guembe, Peio Lopez-Iturri, Hicham Klaina, Guillermo Glaria Ezker, Félix Sáez De Jauregui Urdanoz, José Luis Zabalza Cestau, Leyre Azpilicueta, Francisco Falcone
Published in: IEEE Access ( Volume: 9)
Summary Contributed by:  Francisco Falcone (Author)
Novel Ultra-Wideband (UWB)-based wireless communication system offers precision location and tracking in industrial settings. The electromechanical interference and heavy machinery can cause severe degradation of signal. The researchers present a hybrid deterministic 3D-RL approximation algorithm for wireless channel characterization of UWB systems in industrial indoor application. The proposed methodology enables optimal system planning and implementation of UWB-based indoor tracking systems in industrial environments.
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5 min
August 28, 2023

Articles Posted in the Month (August 2023)

Unmanned Aerial Vehicles in Smart Agriculture: Applications, Requirements, and Challenges

Author: Praveen Kumar Reddy Maddikunta, Saqib Hakak , Mamoun Alazab, Sweta Bhattacharya, Thippa Reddy Gadekallu, Wazir Zada Khan, Quoc-Viet Pham
Published in: IEEE Sensors Journal (Volume: 21, Issue: 16, August 2021)
Summary Contributed by:  Kamalesh Tripathy
Smart agriculture is the future to meet the growing food demand. Implementing information and communication technology (ICT) with unmanned aerial vehicles (UAVs) gives a better way to monitor farming under challenging conditions. Smart and precision agriculture demand knowledge of IoT (Internet of Things) applications, design architecture, protocols, etc. This paper explores different aspects of UAV implementations, Bluetooth-based wireless communication, agricultural sensors, design architecture, etc., and their future trends.
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5 min
August 21, 2023

Articles Posted in the Month (August 2023)

A Survey on the Convergence of Edge Computing and AI for UAVs: Opportunities and Challenges

Author: Patrick McEnroe, Shen Wang, Madhusanka Liyanage
Published in: IEEE Sensors Journal (Volume: 9, Issue: 17, September 2022)
Summary Contributed by:  Patrick McEnroe (Author)
Unmanned aerial vehicles (UAV) applications are often heavily dependent on artificial intelligence (AI) methods. Traditional cloud-based AI can find it hard to meet various UAV requirements, such as low latency and energy consumption. Edge AI, where AI is run on-device or at edge servers, is a viable solution. The researchers present an in-depth review of the convergence of edge AI and UAVs.
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4 min
August 14, 2023

Articles Posted in the Month (August 2023)

CNN-Based Classification for Point Cloud Object With Bearing Angle Image

Author: Chien-Chou Lin, Chih-Hung Kuo, Hsin-Te Chiang
Published in: IEEE Sensors Journal (Volume: 22, Issue: 1, January 2022)
Summary Contributed by:  Anupama
Currently available 3D object classifiers combine point clouds and color images. They use complex models requiring an enormous memory to store their parameters. An efficient alternative method is proposed that utilizes information solely from point clouds. The point cloud objects are converted into bearing angle (BA) images and then classified by convolutional neural networks. This method achieves high accuracy while using significantly less time and memory.
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5 min
August 7, 2023

Articles Posted in the Month (July 2023)

Target Classification by mmWave FMCW Radars Using Machine Learning on Range-Angle Images

Author: Siddharth Gupta, Prabhat Kumar Rai, Abhinav Kumar, Phaneendra K. Yalavarthy, Linga Reddy Cenkeramaddi
Published in: IEEE Sensors Journal (Volume: 21, Issue: 18, September 2021)
Summary Contributed by:  Linga Reddy Cenkeramaddi (Author)
The researchers present a novel target classification technique incorporating mmWave radar and deep learning models to classify moving objects. The system provides a wide field of view by orienting the antenna in elevation and rotating it in the horizontal field. With 97 – 99 % accuracy, the proposed classification technique is a cost-effective and dependable system for a wide range of autonomous applications.
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5 min
July 31, 2023

Articles Posted in the Month (July 2023)

The Machine Learnings Leading the Cuffless PPG Blood Pressure Sensors Into the Next Stage

Author: Paul C.-P. Chao, Chih-Cheng Wu, Duc Huy Nguyen, Ba-Sy Nguyen, Pin-Chia Huang, Van-Hung Le
Published in: IEEE Sensors Journal (Volume: 21, Issue: 11, June 2021)
Summary Contributed by:  E.V.V. Hari Charan
Regular blood pressure (BP) monitoring helps in managing Cardiovascular diseases. Recent works on machine learning based on measured photoplethysmogram (PPG) waveforms have shown a strong possibility of estimating blood pressure by cuffless devices, such as recursive neural networks (RNN), long short-term memory (LSTM), etc. The challenge lies in the successful commercialization of cuffless BP sensors.
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4 min
July 24, 2023

Articles Posted in the Month (July 2023)

A Nanometer Resolution Wearable Wireless Medical Device for Non Invasive Intracranial Pressure Monitoring

Author: Rodrigo de A. P. Andrade, Helder Eiki Oshiro, Caio Kioshi Miyazaki, Cintya Yukie Hayashi, Marcos Antonio de Morais, Rodrigo Brunelli, João Paulo Carmo
Published in: IEEE Sensors Journal (Volume: 21, Issue: 20, October 2021)
Summary Contributed by:  Helder Eiki Oshiro (Author)
Non-invasive intracranial pressure monitoring (NIICP) by measuring skull deformation has been studied extensively for assessing intracranial pressure and compliance. The researchers used this principle to design a novel wireless sensor. The proposed sensor is small, portable, cost-effective, and highly sensitive. It offers a more accurate clinical evaluation of intracranial dynamics and has the potential for a wide range of applications.
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5 min
July 17, 2023

Articles Posted in the Month (July 2023)

A 3D Printed Ti6Al4V Alloy Uniaxial Capacitive Accelerometer

Author: Valentina Zega, Luca Martinelli, Riccardo Casati, Emanuele Zappa, Giacomo Langfelder, Alfredo Cigada, Alberto Corigliano
Published in: IEEE Sensors Journal (Volume: 21, Issue: 18, September 2021)
Summary Contributed by:  Anupama
3D printing has emerged as a novel fabrication process for producing customized sensors at low cost. A uniaxial Ti6Al4V alloy accelerometer prototype was designed and fabricated using the Laser Powder Bed Fusion (L-PBF) technique. With micro dimensions and comparable differential sensitivity, the proposed prototype showcases a new genre of 3D-printed metal sensors which are low-cost, customizable, efficient, and durable.
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5 min
July 11, 2023

Articles Posted in the Month (July 2023)

CMOS-Based Tactile Force Sensor: A Review

Author: Sheng-Kai Yeh, Meng-Lin Hsieh, Weileun Fang
Published in: IEEE Sensors Journal (Volume: 21, Issue: 11, June 2021)
Summary Contributed by:  Sheng-Kai Yeh (Author)
The tactile force sensor is the key enabling device for machines to interact with humans and objects. Due to the growing demand for smart-machine, metaverse, gaming, etc., miniaturized tactile force sensing chips have attracted attention and have also been developed through different detection and process technologies. The paper summarizes various tactile force sensors designed and fabricated based on the semiconductor CMOS processes.
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5 min
July 4, 2023

Articles Posted in the Month (June 2023)

Deep Learning for Patient-Independent Epileptic Seizure Prediction Using Scalp EEG Signals

Author: test
Published in: IEEE Sensors Journal (Volume: 21, Issue: 7, April 2021)
Summary Contributed by:  Theekshana Dissanayake (Author)
Epilepsy is one of the most prevalent neurological diseases among humans. It can lead to severe brain injuries, strokes, and brain tumors. Early detection of seizures is critical to improving the day-to-day lives of patients. The researchers propose two deep learning approaches, using EEG data as input, which can detect epileptic seizures one hour before they occur.
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4 min
June 26, 2023

Articles Posted in the Month (June 2023)

Colon Cancer Detection by Designing and Analytical Evaluation of a Water-Based THz Metamaterial Perfect Absorber

Author: Zohreh Vafapour, William Troy, Ali Rashidi
Published in: IEEE Sensors Journal (Volume: 21, Issue: 17, September 2021)
Summary Contributed by:  Anupama
Early detection of colon cancer is vital for patient survival. The researchers propose a novel device for the detection of colon cancer using terahertz electromagnetic waves. The device detects differences in water concentration within healthy and cancerous colon tissues by using surface plasmon polaritons (SPP). It shows potential as a less invasive, safer, faster, and early detection procedure for colon cancer.
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5 min
June 19, 2023

Articles Posted in the Month (June 2023)

IoT Enabled, Leaf Wetness Sensor on the Flexible Substrates for In-Situ Plant Disease Management

Author: Kamlesh S. Patle, Riya Saini, Ahlad Kumar, Sandeep G. Surya, Vinay S. Palaparthy, Khaled N. Salama
Published in: IEEE Sensors Journal (Volume: 21, Issue: 17, September 2021)
Summary Contributed by:  Margi Hingrajia
Early detection of plant diseases can prevent crop failure. The Leaf wetness duration (LWD) that leads to fungal infections is a major concern among farmers. Using LWD as a parameter, researchers developed disease detection models with an Internet of Things (IoT)-enabled leaf wetness sensor (LWS) prototype fabricated on flexible substrates. Researchers tested the prototypes on medicinal plants. The prototype made comparatively accurate, precise, and early disease predictions.
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5 min
June 12, 2023

Articles Posted in the Month (June 2023)

Fabrication Strategies and Measurement Techniques for Performance Improvement of Graphene/Graphene Derivative Based FET Gas Sensor Devices: A Review

Author: Partha Bhattacharyya
Published in: IEEE Sensors Journal (Volume: 21, Issue: 9, May 2021)
Summary Contributed by:  Partha Bhattacharyya (Author)
Graphene and graphene derivative-based field effect transistor (FET) gas sensors are the most recent inclusion in the gas sensor family, having enormous potential to detect a wide variety of oxidizing and reducing target species with high sensitivity. The researchers adopted various strategies to improve the different performance index of the sensor either at the fabrication/device stage or at the operational/measurement technique level.
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5 min
June 5, 2023

Articles Posted in the Month (May 2023)

Determination of Salinity and Sugar Concentration by Means of a Circular-Ring Monopole Textile Antenna-Based Sensor

Author: Mariam El Gharbi, Marc Martinez-Estrada, Raúl Fernández-García, and Ignacio Gil
Published in: IEEE Sensors Journal (Volume: 21, Issue: 21, November 2021)
Summary Contributed by:  Kamalesh Tripathy
Excessive sugar and salt in the diet are harmful to health. A wearable antenna sensor with real-time sugar and salt monitoring could help monitor salt and sugar intake. The researchers here propose an e-textile-based monopole antenna sensor prototype for it. The simple fabrication process, compact size, and high sensitivity make the prototype ideal for a blood sugar or sodium sensor.
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5 min
May 29, 2023

Articles Posted in the Month (May 2023)

Miniature Fiber-Spectrophotometer for Real-Time Biomarkers Detection

Author: Vahid Khojasteh Lazarjan, Anahita Bakhshizadeh Gashti, Mohamad Feshki, Alain Garnier, Benoit Gosselin.
Published in: IEEE Sensors Journal (Volume: 21, Issue: 13, July 2021)
Summary Contributed by:  Vahid Khojasteh Lazarjan (Author)
The portable Point-of-care (POC) devices that can detect diseases will revolutionize healthcare. The researchers propose a miniature wireless cell fiber-spectrophotometer prototype for real-time bio-markers detection and diagnostic support outside the laboratories. The low-power and lightweight spectrometer can identify biomarkers, such as tagged proteins or genetic materials, even in small samples. It promises effective point-of-care solutions for rapid testing of infectious diseases like SARS-CoV-2 or cancer.
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4 min
May 22, 2023

Articles Posted in the Month (May 2023)

False-Alarm-Controllable Radar Detection for Marine Target Based on Multi Features Fusion via CNNs

Author: Xiaolong Chen, Ningyuan Su, Yong Huang, Jian Guan
Published in: IEEE Sensors Journal (Volume: 21, Issue: 7, April 2021)
Summary Contributed by:  Shradha Makhija
Sea surface target detection is vital for maritime security, surveillance, and rescue operations. The complexity of the marine environment makes it difficult to achieve robust, reliable, and adaptive target detection. Deep learning methods show better feature extraction ability and classification accuracy. The study proposes a new approach to marine target detection in complex background conditions using marine dual-channel convolutional neural networks (MDCCNN) with a false-alarm controllable classifier (FACC).
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5 min
May 15, 2023

Articles Posted in the Month (May 2023)

Multiplexed Silicon Nanowire Tunnel FET-Based Biosensors With Optimized Multi-Sensing Currents

Author: Sihyun Kim, Ryoongbin Lee, Daewoong Kwon, Tae-Hyeon Kim, Tae Jung Park, Sung-Jin Choi, Hyun-Sun Mo, Dae Hwan Kim, Byung-Gook Park
Published in: IEEE Sensors Journal (Volume: 21, Issue: 7, April 2021)
Summary Contributed by:  Sihyun Kim (author)
Multiplexed sensing is an efficient approach for diagnosing and monitoring progressive diseases like cancer. This paper implements the independent detection of two different biomolecules in a novel single tunnel field-effect transistor (TFET) sensor. Since this new sensor can be perfectly co-integrated with complementary metal–oxide–semiconductor (CMOS) read-out circuits by state-of-art industry CMOS process, the mass production of CMOS-based biochips for multiplexed sensing is possible.
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4 min
May 8, 2023

Articles Posted in the Month (May 2023)

Micro-Doppler Based Target Recognition With Radars: A Review

Author: Ali Hanif, Muhammad Muaz, Azhar Hasan, Muhammad Adeel
Published in: IEEE Sensors Journal (Volume: 22, Issue: 4, February 2022)
Summary Contributed by:  Anupama
Radar detection of smaller targets requires lowering the radar cross-section and velocity thresholds. With it, an abundance of target signatures gets generated, making it necessary to classify only relevant targets. Micro-motions of targets are significant characteristics. Micro-Doppler signatures have emerged as an effective method of classifying such targets. The study presents a systematic review of various micro-Doppler-based radar target signature analysis and classification techniques.
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5 min
May 1, 2023

Articles Posted in the Month (April 2023)

A Hybrid Posture Detection Framework: Integrating Machine Learning and Deep Neural Networks

Author: Sidrah Liaqat, Kia Dashtipour, Kamran Arshad, Khaled Assaleh, Naeem Ramzan
Published in: IEEE Sensors Journal (Volume: 21, Issue: 7, April 2021)
Summary Contributed by:  Sidrah Liaqat (Author)
Posture detection is important for monitoring health status. Incorrect postures may cause muscle weaknesses and body pain. The novel hybrid remote posture detection method developed by integrating machine learning (ML) and deep learning (DL) has produced promising results with 98% accuracy. Remote posture monitoring has the edge over camera-based, and wearable devices due to its privacy preserved feature.
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5 min
April 24, 2023

Articles Posted in the Month (April 2023)

Application of Physiological Sensors for Personalization in Semi-Autonomous Driving: A Review

Author: Edric John Cruz Nacpil, Zheng Wang, Kimihiko Nakano
Published in: IEEE Sensors Journal (Volume: 21, Issue: 18, September 2021)
Summary Contributed by:  Kamalesh Tripathy
With the increasing popularity and demand of autonomous vehicles, the safety, privacy, and comfort of the occupants have become prime concerns. The vehicle system can use various sensors to monitor the occupants' physical and mental health and collect behavioral data for further research and improvisation. The researchers present a detailed study on physiological sensors incorporated into the autonomous vehicle for emergencies or non-emergency circumstances.
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5 min
April 17, 2023

Articles Posted in the Month (April 2023)

Investigation on Butanone Sensing Properties of ZnO Sensor Under Different Calcination Temperature

Author: Hongmin Zhu, Wenbo Qin, Jin Li, Zhenyu Yuan, Fanli Meng, Yanbai Shen
Published in: IEEE Sensors Journal (Volume: 22, Issue: 1, January 2022)
Summary Contributed by:  Hongmin Zhu (author)
Butanone is an organic compound found in nature in traces and produced industrially on a large scale. It is extensively used in household products, industries, and labs. However, prolonged exposure to butanone is harmful, making its sensing and detection important. The researchers present an investigation on the butanone sensing properties of ZnO sensors and the effect of particle size on the detection of butanone by ZnO nanocrystals.
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5 min
April 10, 2023

Articles Posted in the Month (April 2023)

Online Wear Particle Detection Sensors for Wear Monitoring of Mechanical Equipment?A Review

Author: Ran Jia, Liyong Wang, Changsong Zheng, Tao Chen
Published in: IEEE Sensors Journal (Volume: 22, Issue: 4, February 2022)
Summary Contributed by:  Laxmeesha Somappa
Mechanical equipment with moving parts is prone to wear that may lead to mechanical failures, damage, or even accidents. Monitoring the machinery to check its health and alert of any probable wear status is essential. The researchers here review the pros and cons of online wear particle detection sensors for real-time wear monitoring of the wear state of mechanical equipment.
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5 min
April 3, 2023

Articles Posted in the Month (March 2023)

Current Sensing Front-Ends: A Review and Design Guidance

Author: Da Ying, Drew A. Hall
Published in: IEEE Sensors Journal (Volume: 21, Issue: 20, October 2021)
Summary Contributed by:  Drew A. Hall (Author)
Sensors have become a part of everyday life, seamlessly connecting the physical and electronic worlds. The paper focuses on the current-output sensing technique, providing information and analytical study of various sensors and design guidance of current readout circuits. Additionally, state-of-the-art current-sensing frontends are analyzed concerning gain, bandwidth, stability, and noise. The paper presents insights into general design architectures and their performance tradeoffs.
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4 min
March 27, 2023

Articles Posted in the Month (March 2023)

Wearable Gait Recognition Systems Based on MEMS Pressure and Inertial Sensors

Author: Wenchao Li, Wenqian Lu, Xiaopeng Sha, Hualin Xing, Jiazhi Lou, Hui Sun, Yuliang Zhao
Published in: IEEE Sensors Journal (Volume: 22, Issue: 2, January 2022)
Summary Contributed by:  Pranjali Maru
Wearable gait recognition systems incorporating MEMS (micro-electromechanical systems) sensors are in demand because of their pivotal use in disease prevention, robotics, and identity recognition. Data pre-processing, filtering, and segmenting can successfully assist in detecting human gait. The patterns of the gaits are then analyzed to derive meaningful results. This exciting new domain has proven to be a lifesaver time and again.
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5 min
March 20, 2023

Articles Posted in the Month (March 2023)

Experimental Demonstration of Accurate Noncontact Measurement of Arterial Pulse Wave Displacements Using 79-GHz Array Radar

Author: Yuji Oyamada, Takehito Koshisaka, Takuya Sakamoto
Published in: IEEE Sensors Journal (Volume: 21, Issue: 7, April 2021)
Summary Contributed by:  Takuya Sakamoto (Author)
Early detection and diagnosis of Cardiovascular diseases save lives. The arterial pulse wave velocity (PWV) is one of the essential parameters to diagnose and monitor cardiovascular risk and condition. In the emerging trends of noncontact monitoring, the researchers experimentally demonstrated the accuracy of contactless technology for measuring arterial pulse wave propagation using an array radar system and laser displacement sensors that could replace contact monitoring.
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5 min
March 13, 2023

Articles Posted in the Month (March 2023)

Soft Biomimetic Optical Tactile Sensing With the TacTip: A Review

Author: Nathan F. Lepora
Published in: IEEE Sensors Journal (Volume: 21, Issue: 19, October 2021)
Summary Contributed by:  Dayarnab Baidya
The sense of touch has a different significance in the human body than other senses, like hearing, sight, smell, and taste. The dexterous use of our hands for touch depends on the intelligent use of tactile perception. However, robotic hands lack the same level of dexterity as human hands. The researchers are working to develop methods to simulate the capabilities of the human sense of touch in machines.
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5 min
March 6, 2023

Articles Posted in the Month (February 2023)

Wireless Power and Data Transmission for Implanted Devices via Inductive Links: A Systematic Review

Author: Mohammad Javad Karimi, Alexandre Schmid, Catherine Dehollain
Published in: IEEE Sensors Journal (Volume: 21, Issue: 6, March2021)
Summary Contributed by:  Mohammad Javad Karimi (Author)
Implantable medical devices (IMD) are developed to control and report acquired biological data from an implanted device in the body or brain to an external stage for biomedical purposes. They receive power from batteries or wireless power transmissions (WPT). Due to their simplicity and safety, magnetic waves are extensively studied and developed for powering in biomedical applications.
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5 min
February 27, 2023

Articles Posted in the Month (February 2023)

Multi-Sensor Complex Network Data Fusion Under the Condition of Uncertainty of Coupling Occurrence Probability

Author: Xianfeng Li, Sen Xu
Published in: IEEE Sensors Journal (Volume: 21, Issue: 22, November 2021)
Summary Contributed by:  Payal Savani
Complex multi-sensor networks face challenges in storage management, data processing and resource optimization. Data fusion methods analyze and integrate diverse sensor information to produce coherent and accurate information. Researchers propose an adaptive weighted fusion algorithm on grouped sensor data that can efficiently reduce data redundancy, optimize resources, and lower network congestion. It showed higher accuracy and energy efficiency than other fusion algorithms.
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5 min
February 20, 2023

Articles Posted in the Month (February 2023)

Swin-Depth: Using Transformers and Multi-Scale Fusion for Monocular-Based Depth Estimation

Author: Zeyu Cheng, Yi Zhang, Chengkai Tang
Published in: IEEE Sensors Journal (Volume: 21, Issue: 23, December 2021)
Summary Contributed by:  Zeyu Cheng (Author)
Depth estimation using monocular sensors is an important and challenging task in computer vision. The paper proposes a monocular depth estimation network Swin-Depth, which estimates the depth of a scene from only a single image. The proposed method achieved state-of-the-art results on challenging datasets based on hierarchical representation learning in Transformer-based monocular depth estimation networks and multi-scale fusion attention. It provides an accurate and efficient solution to the depth estimation problem.
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6 min
February 13, 2023

Articles Posted in the Month (February 2023)

Chipless RFID Sensors for Wearable Applications: A Review

Author: Santanu Kumar Behera
Published in: IEEE Sensors Journal (Volume: 22, Issue: 2, December 2022)
Summary Contributed by:  Anupama
RFID-a radio-frequency identification technology, is gaining popularity as a wireless sensor for track and trace applications. The high cost of chipped-RFID tags makes them unsuitable for mass production. The Chipless-RFID tag is lightweight, durable, reliable, and energy-sufficient and can be mass-produced using inexpensive conductive inks or yarns. Improving range and data capacity in chipless-RFID tags could make them indispensable as wearables.
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6 min
February 6, 2023

Articles Posted in the Month (January 2023)

Realistic LiDAR With Noise Model for Real-Time Testing of Automated Vehicles in a Virtual Environment

Author: Juan P. Espineira, Jonathan Robinson, Jakobus Groenewald, Pak Hung Chan, Valentina Donzella
Published in: IEEE Sensors Journal (Volume: 21, Issue: 8, April 2021)
Summary Contributed by:  Juan P. Espineira (Author)
The advancement in the automotive industry has made connected automotive solutions a reality. However, real-time testing and evaluating the solutions in the virtual environment is crucial to validate their safety and reliability. The paper presents a simulated LiDAR model with a rain model that runs in real-time in a high-fidelity simulated environment. It enables real-time testing using LiDAR data to be completed in a virtual environment.
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5 min
January 30, 2023

Articles Posted in the Month (January 2023)

Design and Realization of Wide Field-of-View 3D MEMS LiDAR

Author: Chia-Hsing Lin, Hao-Sheng Zhang, Chia-Ping Lin, Guo-Dung J. Su
Published in: IEEE Sensors Journal (Volume: 22, Issue: 1, January2022)
Summary Contributed by:  Dayarnab Baidya
The usual MEMS mirror-based Light detection and ranging (LiDAR) systems are suitably lightweight and accurate but have a narrow field of view (FOV). The proposed LiDAR prototype with a customized wide-angle lens in front of the MEMS mirrors could successfully scan a large FOV to produce a 3D image with negligible distortion. Successful integration may increase its potential use in autonomous vehicles, drones, mobile robotic devices, disaster prediction etc.
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5 min
January 23, 2023

Articles Posted in the Month (January 2023)

Polymer Optical Fiber Liquid Level Sensor: A Review

Author: Runjie He, Chuanxin Teng, Santosh Kumar, Carlos Marques, Rui Min
Published in: IEEE Sensors Journal (Volume: 22, Issue: 2, January 2022)
Summary Contributed by:  Rui Min (Author)
Polymer optical fibers (POFs) are compact, flexible, and resistant to chemical corrosion and electromagnetic interference. POFs are an excellent choice for high accuracy liquid level sensing. The materials like polymethyl methacrylate (PMMA) and perfluorinated polymer (CYTOP) are selected based on their bandwidth, chemical, and absorption characteristics. POFs with intensity modulation and wavelength modulation show better performance in liquid-level sensing.
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5 min
January 19, 2023

Articles Posted in the Month (January 2023)

Recent Applications of Different Microstructure Designs in High Performance Tactile Sensors: A Review

Author: Xuguang Sun, Tiezhu Liu, Jun Zhou, Lei Yao, Shuli Liang, Ming Zhao, Chunxiu Liu, Ning Xue
Published in: IEEE Sensors Journal (Volume: 21, Issue: 9, May2021)
Summary Contributed by:  E.V.V. Hari Charan
The Internet of Things, robot hands, and smart living has increased the demand to develop flexible tactile sensors. The tactile sensors have perspective applications in healthcare monitoring, electronic skin, and artificial intelligence. The microstructure of the sensing unit is an essential factor in developing and improving the tactile sensor's sensitivity, response time, resolution, and robustness.
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5 min
January 9, 2023

Articles Posted in the Month (January 2023)

Fundamentals and Advancements of Topology Discovery in Underwater Acoustic Sensor Networks: A Review

Author: Yuan Liu, Haiyan Wang, Xiaohong Shen, Ruiqin Zhao, Lin Cai
Published in: IEEE Sensors Journal (Volume: 21, Issue: 19, October 2021)
Summary Contributed by:  Yuan Liu (Author)
Underwater acoustic sensor networks (UANs) are an enabling technology to explore and uncover the mysterious oceans, a vast unknown territory on Earth. The first and often neglected challenge to building a UAN is to discover network topology. The study presented here provides a comprehensive review of existing approaches for UAN topology discovery, the challenges, and the opportunities beckoning further research.
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4 min
January 2, 2023

Articles Posted in the Month (December 2022)

Susceptibility of Stimuli-Responsive Hydrogels With Embedded Magnetic Microparticles for Inductively Wireless Chemical Sensing

Author: J. H. Park, S. H. Song, M. Ochoa, H. Jiang
Published in: IEEE Sensors Journal (Volume: 22, Issue: 2, January 2022)
Summary Contributed by:  Abhishek Srivastava
Understanding the role of pH value in clinical diagnostic and drug delivery has recently gained research interest. Measuring pH value helps diagnose and assess different medical conditions, like skin structure and wound status, during a healing process. pH sensing is also used to control the release of the drug at the site of its measurement. The paper presents the susceptibility characterization of magnetic microparticles for sensing pH values for biomedical applications.
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4 min
December 19, 2022

Articles Posted in the Month (December 2022)

Flexible Strain and Temperature Sensing NFC Tag for Smart Food Packaging Applications

Author: Pablo Escobedo, Mitradip Bhattacharjee, Fatemeh Nikbakhtnasrabadi, Ravinder Dahiya
Published in: IEEE Sensors Journal (Volume: 21, Issue: 23, December 2021)
Summary Contributed by:  Mitradip Bhattacharjee (Author)
Neglecting quality monitoring can lead to contamination and degradation of packaged food. Temperature variation during storage encourages the growth of microorganisms and bacteria, making supervision essential for quality control. Smart packaging with inbuilt temperature and strain sensors can detect these anomalies caused by microbial contamination. The sensor also incorporates an NFC (near field communication) tag and an LED (light emitting diode) indicator for user-friendly notification.
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5 min
December 12, 2022

Articles Posted in the Month (December 2022)

Artificial Intelligence-Based Sensors for Next Generation IoT Applications: A Review

Author: Subhas Chandra Mukhopadhyay, Sumarga Kumar Sah Tyagi, Nagender Kumar Suryadevara, Vincenzo Piuri, Fabio Scotti, Sherali Zeadally
Published in: IEEE Sensors Journal (Volume: 21, Issue: 22, November 2021)
Summary Contributed by:  Pranjali Maru
IoT applications, with their unique functionality and applications, are improving human lives. Analysis of a large amount of sensor data collected from these applications is made possible with the help of AI. The convergence of AI and IoT has proven to be a successful idea and has found its applications in health care, agriculture, the environment, and transportation.
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5 min
December 5, 2022

Articles Posted in the Month (December 2022)

A Novel Angle Estimation for mmWave FMCW Radars Using Machine Learning

Author: Linga Reddy Cenkeramaddi, Prabhat Kumar Rai, Aveen Dayal, Jyoti Bhatia, Aarav Pandya, J. Soumya, Abhinav Kumar, Ajit Jha
Published in: IEEE Sensors Journal (Volume: 21, Issue: 8, April 2021)
Summary Contributed by:  Linga Reddy Cenkeramaddi (Author)
In autonomous systems, mmWave radar sensors are highly reliable for target localization and tracking. However, due to the limited number of transceivers, they cannot accurately estimate the angle of arrival (AoA) of the targets. The researchers developed a novel machine learning-based AoA estimation and field of view (FoV) enhancement techniques for mmWave FMCW radars operating in the frequency range of 77-81 GHz. It has an improved field of view in both azimuth and elevation.
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5 min
December 1, 2022

Articles Posted in the Month (November 2022)

Textile-Based Pressure Sensors for Monitoring Prosthetic-Socket Interfaces

Author: Jordan Tabor, Talha Agcayazi, Aaron Fleming, Brendan Thompson, Ashish Kapoor, Ming Liu, Michael Y. Lee, He Huang, Alper Bozkurt, Tushar K. Ghosh
Published in: IEEE Sensors Journal (Volume: 21, Issue: 7, April 2021)
Summary Contributed by:  Jordan Tabor (Author)
Transtibial amputees face many challenges while wearing prosthetic devices, including chronic discomfort. The commercially available rigid sensors are often used to understand the inner prosthetic environment better. It causes amputees additional discomfort during use. Here, the researchers propose a flexible, textile-based sensing method for prosthetic monitoring and a systematic approach to testing and integrating the sensors within prosthetics.
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4 min
November 21, 2022

Articles Posted in the Month (November 2022)

Nonanal Sensor Fabrication Using Aldol Condensation Reaction Inside Alkali-Resistant Porous Glass

Author: Masato Tsujiguchi, Takashi Aitoku, Hironori Takase, Yasuko Yamada Maruo
Published in: IEEE Sensors Journal (Volume: 21, Issue: 7, April 2021)
Summary Contributed by:  Masato Tsujiguchi (Author)
Early-stage lung cancer is difficult to detect. High-accuracy lung cancer diagnostic methods have previously been reported by measuring the concentration of nonanal gas in exhaled breath. Here, the researchers used alkaline catalysts in nonanal detection reactions inside a suitable glass with nanoscale pores by developing an alkali-resistant porous glass, thus fabricating a simple and highly sensitive nonanal gas sensor.
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5 min
November 15, 2022

Articles Posted in the Month (November 2022)

Contact and Remote Breathing Rate Monitoring Techniques: A Review

Author: Mohamed Ali, Ali Elsayed, Arnaldo Mendez, Yvon Savaria, Mohamad Sawan
Published in: IEEE Sensors Journal (Volume: 21, Issue: 13, November 2021)
Summary Contributed by:  Kamalesh Tripathy
The recent COVID outbreaks highlighted the need for breathing rate monitoring and increased the demand for hospitalized patients. Monitoring breathing rate is vital for diagnosing diseases and observing patients with pulmonary conditions. The pros and cons of different techniques are studied and categorized under contact and remote modes of respiratory monitoring systems. Various Radar-based methods found to be more suitable for respiration monitoring are discussed.
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4 min
November 1, 2022

Articles Posted in the Month (November 2022)

A Low-Noise Instrumentation Amplifier With Built-in Anti-Aliasing for Hall Sensors

Author: Robbe Riem, Johan Raman, Jonas Borgmans, Pieter Rombouts
Published in: IEEE Sensors Journal (Volume: 21, Issue: 17, September 2021)
Summary Contributed by:  Robbe Riem (author)
A silicon validation of an In-the-Loop Sampling Amplifier (ILSA) was proposed as a Hall sensor's core pre-conditioning analog interface circuit. It has the advantages of high one-step gain, low noise, low offset, and inherent anti-aliasing. It can be connected directly to any analog-to-digital converter. The resultant Hall system is a compact, low-noise readout architecture with a digital output.
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5 min
November 1, 2022

Articles Posted in the Month (October 2022)

Dielectrics for Non-Contact ECG Bioelectrodes: A Review

Author: Alhassan Haruna Umar, Mohd Afzan Othman, Fauzan Khairi Che Harun, Yusmeeraz Yusof
Published in: IEEE Sensors Journal (Volume: 21, Issue: 17, September 2021)
Summary Contributed by:  Alhassan Haruna Umar (Author)
After years of existence and research efforts, dielectric materials in non-contact bioelectrodes guarantee the hope and survival of patients with heart abnormalities. Without painful skin abrasion, cardiac monitoring devices could reliably ensure constant care and well-being of patients. The researchers provide invaluable insights into the influence of dielectric materials that could change the future of ECG monitoring systems.
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5 min
October 3, 2022

Articles Posted in the Month (October 2022)

Portable Tools for COVID-19 Point-of-Care Detection: A Review

Author: Elga F. Saki, Samuel A. Setiawan, Dedy H. B. Wicaksono
Published in: IEEE Sensors Journal (Volume: 21, Issue: 21, November 2021)
Summary Contributed by:  E.V.V. Hari Charan
The Global pandemic, COVID-19, surged the demand for easy-to-use, low-cost, portable, sensitive, and quick diagnostic devices with accurate detection probability for SARS-CoV-2 diagnosis. The researchers responded fast by developing various detection methods based on the target biomarkers. The focus is on the new approach using sensing arrays combined with artificial intelligence (AI) analysis to develop portable tools for reliable, inexpensive, and sensitive COVID-19 point-of-care detection.
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4 min
October 1, 2022

Articles Posted in the Month (October 2022)

A Hybrid Camera System for High-Resolutionization of Target Objects in Omnidirectional Images

Author: Chinthaka Premachandra, Masaya Tamaki
Published in: IEEE Sensors Journal (Volume: 21, Issue: 9, May 2021)
Summary Contributed by:  Pranjali Maru
The growing use of cameras in crucial applications such as surveillance demands intensive research in image capturing and processing. Capturing a high-quality comprehensive view of a site is required. A hybrid camera platform consisting of an omnidirectional camera for a wide angle of images and a pan-tilt camera for handling the resolution of images is proposed. Multiple experiments demonstrated its ability to capture high-resolution images with a 360-degree panorama.
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5 min
October 1, 2022

Articles Posted in the Month (September 2022)

Blockchain-Federated-Learning and Deep Learning Models for COVID-19 Detection Using CT Imaging

Author: Rajesh Kumar, Abdullah Aman Khan, Jay Kumar, Zakria, Noorbakhsh Amiri Golilarz, Simin Zhang, Yang Ting, Chengyu Zheng, Wenyong Wang
Published in: IEEE Sensors Journal (Volume: 21, Issue: 14, October 2021)
Summary Contributed by:  Anupama
COVID-19, the global pandemic, highlighted the need for global collaboration. Massive real-life COVID-19 patients' data were required for identifying positive cases and understanding the nature and spread of the rapidly evolving Coronavirus. A collaborative capsule-based deep-learning model was built to segment and classify COVID-19 infections using Computed Tomography (CT) imaging. The privacy concerns of the organizations, data authentication and normalization were addressed using a blockchain-based federated learning process. It resulted in rapid and accurate detection of COVID-19 symptoms without compromising privacy concerns.
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6 min
September 1, 2022

Articles Posted in the Month (September 2022)

Multifunctional Electronic Skin With a Stack of Temperature and Pressure Sensor Arrays

Author: Yogeenth Kumaresan, Oliver Ozioko, Ravinder Dahiya
Published in: IEEE Sensors Journal (Volume: 21, Issue: 23, December 2021)
Summary Contributed by:  Ravinder Dahiya (author)
The rapid advancements in flexible electronics, nanotechnology and material science have enabled engineers and scientists to realise a flexible electronic skin (e-skin) with human-like sensing capabilities. The multifunctionality of such e-skin is proposed to enable robots with human-like dexterity, cognitive skills and abilities. This is anticipated to significantly advance interesting areas such as healthcare, robotics, and human–machine interfaces.
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5 min
September 1, 2022

Articles Posted in the Month (August 2022)

NO2 Gas Sensor Using Iodine Doped Graphene at Room Temperature with Electric Field Enhanced Recovery

Author: Monica Jaiswal, Robin Kumar, Jagjiwan Mittal, and Pika Jha
Published in: IEEE Sensors Journal (Volume: 22, Issue: 7, April 2022)
Summary Contributed by:  Kamalesh Tripathy
Sensing NO2 gas in the air is an upcoming field of study due to its increased presence as an environmental pollutant and adverse effect on human health. Researchers developed a novel NO2 gas sensor using a synthesized material called the Iodine-doped Multilayer Graphene (I-MLG) to detect NO2 at its minimum concentration in air. The small doping of iodine in multi-layered graphene and the field effect transistor (FET) structure of the sensor makes the fabricated sensor rapid, reversible, compact and a good NO2 gas sensor.
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5 min
August 2, 2022

Articles Posted in the Month (August 2022)

Using Adaptive Wireless Transmission of Wearable Sensor Device for Target Heart Rate Monitoring of Sports Information

Author: Zhenyong Han
Published in: IEEE Sensors Journal (Volume: 21, Issue: 22, November 2021)
Summary Contributed by:  Pranjali Maru
The growing consciousness for health and fitness supported by technological advancements has made smart wearable sensor devices for health monitoring popular. A target heart rate monitoring system, extracting clean heart signals from a polluted source, is proposed for effective micro-monitoring using an adaptive optimization algorithm. The adaptive wireless transmission of sports information and detection system for smart wear is then integrated with a smartphone to display the analysis to the user in a readable format.
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5 min
August 1, 2022

Articles Posted in the Month (July 2022)

A Novel Differential Capacitive Humidity Sensor on SIW Re-Entrant Cavity Microwave Resonators With PEDOT:PSS Film

Author: Cunjie Jia, Jie Huang, Linglong Fu, Yuhan Xiang, Yukang Chen, Hongtao Yue, Qian Zhao, Wenwen Gu, Yongfeng Wu, and Jilong Zhang
Published in: IEEE Sensors Journal (Volume: 22, Issue: 7, April 2022)
Summary Contributed by:  Dayarnab Baidya
The humidity sensors are in massive demand for widespread applications in modern industries and agriculture. The novel differential humidity sensor designed by integrating air-filled substrate integrated waveguide (SIW), metal grid holes (METGH) and loaded with humidity sensitive (HS) materials boosted humidity sensing response. The longitudinally stacking of sensing and referencing resulted in a compact design, anti-temperature-interference ability, and enhanced sensitivity and resolution that could detect minor variations in environmental humidity.
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5 min
July 1, 2022

Articles Posted in the Month (July 2022)

Design and Evaluation of a Haptic Robot-Assisted Catheter Operating System With Collision Protection function

Author: Peng Shi, Shuxiang Guo, Linshuai Zhang, Xiaoliang Jin, Hideyuki Hirata, Takashi Tamiya, and Masahiko Kawanishi
Published in: IEEE Sensors Journal (Volume: 21, Issue: 18, October 2021)
Summary Contributed by:  Anupama
In vascular interventional surgery, experienced physicians rely on proximal force sensing to detect collisions and reduce vascular injury caused by surgical tools. However, in robot-assisted tele-interventional surgery (RATIS), providing high-precision force feedback to the physician is still the main challenge. The researchers developed a haptic robot-assisted catheter operating system with a novel spring-based haptic force interface. With a closed loop force adjustment system, the haptic force interface can provide accurate force feedback. Moreover, a collision protection function with a proximal-force-based collision detection algorithm was proposed to improve surgical safety. In case of no collision, transparency of the teleoperated system is realized; in case of collision, the provided haptic force will be amplified. The results demonstrated the usability of the developed haptic robot-assisted catheter operating system with collision protection function.
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4 min
July 1, 2022

Articles Posted in the Month (June 2022)

Self-Powered Cardiac Monitoring: Maintaining Vigilance With Multi-Modal Harvesting and E-Textiles

Author: Luis Javier Lopez Ruiz, Matthew Ridder, Dawei Fan, Jiaqi Gong , Braden Max Li, Amanda C. Mills, Elizabeth Cobarrubias, Jason Strohmaier, Jesse S. Jur , and John Lach
Published in: IEEE Sensors Journal (Volume: 21, Issue: 2, January 2021)
Summary Contributed by:  Pranjali Maru
The advancements in sensors and circuits have led to the development of self-powered wearable sensing systems. Among many it could be used for uninterrupted active and vigilant cardiac monitoring by means of sensing and streaming electrocardiogram (ECG) and motion data to a smartphone. It enables effective care in a non-intrusive manner. Multi-modal energy harvesting from natural sources and integration with e-textiles make these sensing systems a considerable success.
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5 min
June 6, 2022

Articles Posted in the Month (June 2022)

Respiratory Monitoring During Physical Activities with a Multi-Sensor Smart Garment and Related Algorithms

Author: Carlo Massaroni , Joshua Di Tocco, Marco Bravi, Arianna Carnevale, Daniela Lo Presti, Riccardo Sabbadini, Sandra Miccinilli, Silvia Sterzi, Domenico Formica, Emiliano Schena
Published in: IEEE Sensors Journal (Volume: 20, Issue: 4, February 2020)
Summary Contributed by:  Anupama
Wearable devices for continuous monitoring of physiological parameters have acquired significance for their usage in healthcare and sports science. Among other vital parameters, the measurement of respiration rate is crucial since it could be used to detect physiological abnormalities and health status changes and even help predict cardiac arrest. The multi-sensor smart garments made of conductive yarns show great potential in developing efficient, noninvasive, and unobtrusive respiration rate monitors.
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5 min
June 1, 2022

Articles Posted in the Month (May 2022)

Optimization of Sports Training Systems Based on Wireless Sensor Networks Algorithms

Author: Jun Yang and Wu Lv
Published in: IEEE Sensors Journal (Volume: 21, Issue: 22, November 2021)
Summary Contributed by:  Anupama
Sports trainers traditionally use vision-based motion recognition technology and qualitative analysis to develop personalized training strategies for each athlete. Wireless Sensor Network-based smart monitoring system can track an athlete’s performance and biometrics in real-time and analyze it on cloud-based platforms. The results can help the trainers develop an informed training strategy for the athletes.
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5 min
May 2, 2022

Articles Posted in the Month (May 2022)

A Linear Slope Analyzing Strategy of GMR Sensor Transfer Curve for Static Detection of Magnetic Nanoparticles

Author: Shuai Yuan , Yimeng Du, and Philip W. T. Pong
Published in: IEEE Sensors Journal (Volume: 21, Issue: 21, November 2021)
Summary Contributed by:  Pranjali Maru
Magnetic Nanoparticles (MNPs) have found promising applications in various upcoming technologies. The quantity of MNPs helps detect the biomolecules of the magnetic bio-detection platform marked by magnetic labels. Compared to the traditional subtraction method, a new linear slope analyzing strategy based on giant magnetoresistance (GMR) platform shows impressive performance.
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4 min
May 1, 2022

Articles Posted in the Month (April 2022)

Electronic Waste Reduction through Devices and Printed Circuit Boards designed for Circularity

Author: Moupali Chakraborty; Jeff Kettle; Ravinder Dahiya
Published in: IEEE Journal on Flexible Electronics (Volume: 1, Issue: 1, Jan. 2022)
Summary Contributed by:  Ravinder Dahiya (author)
The extensive use of electronic goods has accelerated the threat of the rise in electronics waste (e-Waste). Its unregulated disposal causes environmental and health issues. Despite international policies and associated legalization, the exponential growth in production of waste Printed Circuit boards (WPCBs), use of poor raw material and energy-hungry manufacturing processes have spiked this problem as unsustainable. The use of emerging eco-friendly materials, resource-efficient manufacturing processes, and new technologies are needed to improve the industry's sustainability.
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4 min
April 11, 2022

Articles Posted in the Month (April 2022)

Design, Development and Characterization of Textile Stitch-Based Piezoresistive Sensors for Wearable Monitoring

Author: Nauman Ali Choudhry, Abher Rasheed, Sheraz Ahmad, Lyndon Arnold, and Lijing Wang
Published in: IEEE Sensors Journal (Volume: 20, Issue: 18, Sept.15, 2020)
Summary Contributed by:  Nauman Ali Choudhry (author)
Electronic textiles (E-textiles) have recently emerged as a promising technology and will soon transform the wearable industry. Due to its flexibility and ease of embedding in garments, wearable sensing has become a favourite choice for continuous health monitoring of athletes and medical patients. Advancements in textile-based sensors significantly impact the quality of life and will play an important role in the field of Internet of Things (IoT).
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5 min
April 8, 2022

Articles Posted in the Month (April 2022)

Miniaturized System for Tumor Cell Detection and Differentiation

Author: Rajapaksha W. R. L. Gajasinghe, Basile Bougenot, Michelle A. Jones, Tan A. Ince, Onur Tigli
Published in: IEEE Sensors Journal (Volume: 21, Issue: 18, Sept. 2021)
Summary Contributed by:  Anupama
Though still not widespread in clinical applications, the detection of circulating tumor cells (CTC) attracts researchers' interest as a technique to diagnose and monitor cancer patients. They have been working on developing a miniaturized, portable, low cost, mass-producible device with the potential for automated and non-invasive diagnostics of CTCs in blood samples at point-of-care locations.
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4 min
April 1, 2022

Articles Posted in the Month (April 2022)

Portable Sensing Devices for Detection of COVID-19: A Review

Author: Deniz Sadighbayan, Ebrahim Ghafar-Zadeh
Published in: IEEE Sensors Journal (Volume: 21, Issue: 9, May 2021)
Summary Contributed by:  Deniz Sadighbayan, Ebrahim Ghafar-Zadeh (authors)
Portable biosensing systems are crucial in deterrence, timely detection, and intensive care of pandemic-causing diseases like the disastrous COVID-19. The Global emergency led researchers to accelerate the development of portable diagnostic devices for recognizing SARS-CoV-2 and advancing the existing biosensor technology such as electrochemical, optical, and electrical for detecting other viruses and low viral loads.
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5 min
April 1, 2022

Articles Posted in the Month (Mar 2022)

A PCA-based method to select the number and the body location of piezoresistive sensors in a wearable system for respiratory monitoring

Author: Luigi Raiano, Joshua Di Tocco, Carlo Massaroni, Giovanni Di Pino, Emiliano Schena, Domenico Formica
Published in: IEEE Sensors Journal (Volume: 21, Issue: 5, March 2021)
Summary Contributed by:  Leena Jha
The optimal number and body location of piezoresistive sensors to design wearables for monitoring respiratory rate are still debated. A Principal Component Analysis (PCA) based method developed to address this challenge considered different references (i.e., at rest and during walking/running). Trials demonstrated that real-time situations strongly influence the number of sensors and their location to optimize wearable performances.
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4 min
March 1, 2022

Articles Posted in the Month (Mar 2022)

A Wearable, Multimodal Sensing System to Monitor Knee Joint Health

Author: Caitlin N. Teague, J. Alex Heller, Brandi N. Nevius, Andrew M. Carek , Samer Mabrouk , Florencia Garcia-Vicente, Omer T. Inan , Mozziyar Etemadi
Published in: IEEE Sensors Journal ( Volume: 20, Issue: 18, September 2020)
Summary Contributed by:  Anupama
Knee injuries and other minor or chronic knee conditions are prevalent. Monitoring rehabilitation or medication progress in knee treatment is time-consuming, expensive, and requires regular imaging, follow-ups, and several tests. However, knee health can be monitored and “joint health score” calculated remotely with wearable sensors that pick up sound, swelling, temperature and motion. Packaging these sensors into a wearable brace is vital for monitoring the knee.
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5 min
March 1, 2022

Articles Posted in the Month (Feb 2022)

Janus: A Combined Radar and Vibration Sensor for Beehive Monitoring

Author: Herbert M. Aumann; Margery K. Aumann; Nuri W. Emanetoglu
Published in: IEEE Sensors Letters (Volume: 5, Issue: 3, March 2021)
Summary Contributed by:  Anupama
The two-faced sensor system, JANUS, is designed to help beekeepers track bee activities like ‘Swarming’ and ‘Robbing’. The outward-looking Doppler radar monitors the bee flights while the inward-looking piezoelectric transducer senses the vibrations made by bees inside the hive. Researchers were able to use the level, duration and correlation between the two sensor signals to provide sufficient indication about different types of bee activity.
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4 min
February 1, 2022

Articles Posted in the Month (Feb 2022)

Graphene Sensors

Author: Ernie W. Hill, Aravind Vijayaragahvan, Kostya Novoselov
Published in: IEEE Sensors Journal (Volume: 11, Issue: 12, December 2011)
Summary Contributed by:  Anupama
Graphene is often called a ‘miracle material’ due to its exceptional mechanical, electrical and chemical properties. It is a highly conductive, thinnest yet strongest, transparent and non-porous layer of pure carbon atoms in a honeycomb structure. Graphene has immense potential for fabricating various types of flexible sensors like mechanical, magnetic, electrochemical, biosensors, optical sensors etc.
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5 min
February 1, 2022

Articles Posted in the Month (Jan 2022)

Environmental Monitoring Systems: A Review

Author: Anuj Kumar, Hiesik Kim, and Gerhard P. Hancke
Published in: IEEE Sensors Journal (Volume: 13, Issue: 4, April 2013)
Summary Contributed by:  Jayraj Mulani
Humans are paying a heavy price for economic growth and overall development, whether infrastructure or industrial growth. The pollution and greenhouse gas emissions have led to environmental concerns and climate change, affecting health and life’s quality. However, a rise in environmental awareness created a demand for Environment monitoring systems (EMS) to detect the source and quantify the pollution level by providing a real-time data monitoring and alarm system.
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4 min
January 1, 2022

Articles Posted in the Month (Jan 2022)

Lock-in Time-of-Flight (ToF) Cameras: A Survey

Author: Sergi Foix, Guillem Alenyà, and Carme Torras
Published in: IEEE Sensors Journal (Volume: 11, No: 9, September 2011)
Summary Contributed by:  Pranjali Maru
Time of Flight (ToF) camera sensor has emerged as a promising technology. Depth intensity pixel associated higher frame rate images, lightweight, compact design, and reduced power consumption and errors in the output have built great potential for ToF imaging in various domains. Despite its limitations like low resolutions and high noise, the ToF cameras are extensively used in computer graphics, machine vision, and robotics.
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5 min
January 1, 2022

Articles Posted in the Month (Dec 2021)

Overview of Automotive Sensors

Author: William J. Fleming
Published in: IEEE Sensors Journal (Volume: 1, No: 4, December 2001)
From mechanical to automatic to self-driven cars, the emerging sensors are revolutionizing the automobile industry. Sensors have emerged as essential components of the automotive electronic control system. The three major areas of automotive systems application–powertrain, chassis, and body are all controlled by arrays of sensors. Advancing automotive sensor technologies have a significant impact on the present with immense scope for the future development of automotive systems.
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6 min
December 1, 2021

Articles Posted in the Month (Dec 2021)

Inertial Sensor Technology Trends

Author: Neil Barbour and George Schmidt
Published in: IEEE Sensors Journal (Volume: 1, Issue: 4, December 2001)
The human desire for accuracy in exploration and guided navigation has brought inventive changes in inertial sensors technology. Integrating inertial sensors with external aids like Doppler, star tracker, or Global Positioning Systems (GPS) improves their accuracy, enhances reliability, and helps overcome inertial drift. Its vast applications in autonomous vehicles, military and space technology, etc., demand the need for extremely low-cost, small size, efficient and batch-producible sensors.
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4 min
December 1, 2021

Articles Posted in the Month (Nov 2021)

A Wireless, Passive Carbon Nanotube-Based Gas Sensor

Author: Keat Ghee Ong, Kefeng Zeng, and Craig A. Grimes
Published in: IEEE Sensors Journal (Volume: 2, Issue: 2, April 2002)
Multiwall carbon nanotube-silicon dioxide (MWNT-SiO2) coated composite surface has been developed as a linear, responsive, sensitive gas sensors for O2, CO2 and NH3 gases. The presence of gas concentration is measured by measuring corresponding changes in permittivity and conductivity of MWNT which consequently changes its resonant frequency. The advent of MWNT-SiO2 offers an enormous potential to build low cost, highly sensitive, linear, passive, portable, low power wireless gas sensors.
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5 min
November 1, 2021

Articles Posted in the Month (Nov 2021)

Multi-Sensor Chip for Monitoring Key Parameters in Bioprocesses

Author: Nurul IzniRusli, Irene Pia Vincentini, Frederik Ceyssens, Michael Kraft
Published in: IEEE Sensors Journal (Volume: 21, Issue: 18, September 2021)
Wearable electronics, mobile applications, the Internet of Things (IoT) technology, and remote monitoring have revolutionized the health care system. The technological advancement in microfabrication techniques has enabled miniaturization and multi-sensing biosensors devices to monitor vital parameters in bioprocesses. Along with its multiple benefits like compact size, low cost, low power consumption, it can also monitor Cell’s density, oxygen, lactate, glucose, temperature, and pH in real-time.
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4 min
November 1, 2021

Articles Posted in the Month (Oct 2021)

Experimental Environments for the Internet of Things: A Review

Author: Luis Eduardo Lima, Bruno Yuji Lino Kimura, Valério Rosset
Published in: IEEE Sensors Journal (Volume: 19, Issue: 9, MAY 2019)
The Internet of Things (IoT) connects different objects embedded with sensors, software and state-of-the-art technologies through the internet, enabling them to communicate in real-time through the wired or wireless communication system. Its application requires validation before actual implementation to reduce the risk involved, especially in security and privacy. The development of experimental environment (testbeds) provides an efficient platform for conducting practical IoT experiments under real conditions and precise testing techniques for wireless sensor networks (WSN) and IoT applications before implementation.
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5 min
October 1, 2021

Articles Posted in the Month (Oct 2021)

Distributed Odor Source Localization

Author: Adam T. Hayes, Alcherio Martinoli, Rodney M. Goodman
Published in: IEEE SENSORS JOURNAL (VOL. 2, NO. 3, JUNE 2002)
Humans have expertise in using animal’s evolved olfactory senses to their benefit. With the emergence of chemical sensors, efforts are made to make mobile odor-source sensing robots. However, odors cannot be sensed or measured by a single parameter such as wavelength or frequency. Studies show that a group of autonomous mobile robots using suitable algorithms performs superior to a single complex robot in odor localization tasks.
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4 min
October 1, 2021

Articles Posted in the Month (Sep 2021)

Instrumented Hip Implant: A Review

Author: Yazan Qiblawey, Muhammad E. H. Chowdhury, Farayi Musharavati, Erfan Zalnezhad, Amith Khandakar, and Mohammad Tariqul Islam
Published in: IEEE Sensors Journal (Volume: 21, Issue: 6, March 2021)
With fast growing older population, the need for knee or hip implants has grown tremendously. These implants have short lifetime due to implant wear, loosening, and misalignment. Therefore it becomes imperative to monitor the implants to avoid unexpected failure and unnoticed deterioration. Smart, instrumented implants can provide accurate monitoring of the implant, delaying the revision surgeries and its consequences.
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5 min
September 1, 2021

Articles Posted in the Month (Sep 2021)

Silicon piezoresistive stress sensors and their application in electronic packaging

Author: J.C. Suhling, R.C. Jaeger
Published in: IEEE Sensors Journal (Volume: 1, Issue: 1, June 2001)
The integrated circuits are known for high circuit densities that raise concerns for thermal, mechanical and low-cost packaging material induced stresses. All these put together either cause the chip to fail or perform against the design. Study of such stresses is mandatory before rolling out the chips from a Fab lab. Silicon Piezoresistive Stress Sensors have shown great potential for understanding and detecting stress distributions in electronic packages. It eventually helps in calibrating the IC parameters, selecting wafer planes and packaging materials, etc.
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4 min
September 1, 2021

Articles Posted in the Month (Aug 2021)

Human Activity Recognition With Smartphone and Wearable Sensors Using Deep Learning Techniques: A Review

Author: E. Ramanujam, Thinagaran Perumal, S. Padmavathi
Published in: IEEE Sensors Journal (Volume: 21, Issue: 12, June 2021)
Human Activity Recognition (HAR) is a field that recognizes human activities from raw time-series signals acquired through embedded sensors of smartphones and wearable devices among others. Deep learning networks modeled after neural network of human brain are widely used in HAR system to retrieve and classify distinct activities. AT present they can accurately recognize simple human activities which make them very useful in Smartphone HAR systems.
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6 min read
August 3, 2021

Articles Posted in the Month (Aug 2021)

Wearable Flexible Sensors: A Review

Author: Anindya Nag, Subhas Chandra Mukhopadhyay, Jürgen Kosel.
Published in: IEEE Sensors Journal (Volume: 17, Issue: 13, July 2017)
The use of sensors in the application world has drastically improved the human life. Sensors have reduced the time required to study events from hours, to a few seconds or minutes. Nowadays sensing systems are being used in gas sensing, environmental monitoring, as well as the food industry. Monitoring of physiological parameters is being done through Wearable Flexible Sensors (WFS). Tremendous scientific research is going on to develop sensors with better sustainability and sensitivity and to overcome challenges regarding handling of the generated data, comfort of the person concerned, and the power consumed by the devices. Better manufacturing techniques will help develop newer sensors encompassing all income categories in the near future.
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2 min read
August 2, 2021

Articles Posted in the Month (July 2021)

Technologies for Printing Sensors and Electronics Over Large Flexible Substrates: A Review

Author: Saleem Khan, LeandroLorenzelli, Ravinder S. Dahiya
Published in: IEEE Sensors Journal (Volume: 15, Issue: 6, June 2015)
Printed sensors and electronics have attracted greater interest as printing facilitates low cost fabrication. With the advent of increased research and demonstration of printed sensors and electronics, we are not far from enabling large area electronics on flexible substrates through cost effective printing technologies on a wide scale. The cost- effectiveness of printing technologies and employing them for flexible electronics will open up new classes of applications, and dramatically change the electronics industry landscape.
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5 min read
July 3, 2021

Articles Posted in the Month (July 2021)

Flexible Wireless Antenna Sensor: A Review

Author: Haiying Huang
Published in: IEEE Sensors Journal (Volume: 13, Issue: 10, October 2013)
Research in the field of flexible sensor skins has progressed significantly in last few decades. With patch antenna technology, these sensors can be wirelessly interrogated with very simple and low-power sensor circuitries for strain sensing, crack detection, shear measurement, bio-chemical sensing etc. Since the information is encoded as frequency, frequency division multiplexing can be exploited to form a large sensor array, hence making the antenna sensor an excellent candidate for flexible sensor skin implementation.
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6 min read
July 2, 2021

Articles Posted in the Month (June 2021)

Sensitive Skin

Author: Vladimir J. Lumelsky, Michael S. Shur, and Sigurd Wagner
Published in: IEEE Sensors Journal (Volume: 1, Issue: 1, June 2001)
Sensitive skin is a large array of sensors embedded in a flexible, stretchable, and/or foldable substrate that might cover the surface of a moving machine. It will make possible the use of machines in unsupervised environments by making them ‘cautious’ and find impressive applications in service industry, health industry, bioengineering, space exploration, and many more.
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7 min read
June 5, 2021

Articles Posted in the Month (June 2021)

Pattern Analysis for Machine Olfaction: A Review

Author: Ricardo Gutierrez-Osuna
Published in: IEEE Sensors Journal (Volume: 2, Issue: 3, June 2002)
Pattern Analysis constitutes a critical building block in the development of gas sensor array instruments, which are potential substitutes to the human olfactory system. The process of analysis can be split into signal pre-processing, dimensionality reduction, prediction and validation. The design for successful pattern recognition for human olfactory system requires careful consideration and critical evaluation of various methods.
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4 min read
June 2, 2021

Articles Posted in the Month (May 2021)

Light-Based Indoor Positioning System A Review

Author: MalithMaheepala, Abbas Z. Kouzani, Matthew A. Joordens
Published in: IEEE Sensors Journal (Volume: 20, Issue: 8, April 2020)
It’s impossible to imagine the modern lifestyle without positioning systems and navigation technologies. The widely used Global positioning system (GPS) and navigation technologiesare ineffective in indoor environments. The emergence of indoor positioning technologies came as a boon for the indoor. Indoor positioning using light signals have immensepotential to provide a reliable and more accurate solution to the indoor positioning systems.
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5 min read
May 29, 2021

Articles Posted in the Month (May 2021)

Utilizing Blockchain to Overcome Cyber Security Concerns in the Internet of Things

Author: Bandar Alotaibi
Published in: IEEE Sensors Journal (Volume: 19, Issue: 23, December 2019)
The Internet of Things (IoT), a wide network of internet connected objects to exchange data, has found impressive solutions in the last two decades which improved people’s lives. To maximise the benefit of IoT applications, blockchain technology has been explored and utilized to enhance the security limitations of the IoT technology.
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2 min read
May 22, 2021

Articles Posted in the Month (April 2021)

Consumer Grade EEG measuring sensors as research tools: A Review

Author: Phattarapong Sawangjai, Supanida Hompoonsup, Pitshaporn Leelaarporn, Supavit Kongwudhikunakorn, and Theerawit Wilaiprasitporn.
Published in: IEEE Sensors Journal (Volume: 20, Issue: 8, April 2020)
The emerging application of consumer grade EEG measuring sensors and advancement in technology, which had made it portable and affordable, has made it accessible in the general market. EEG devices now have a broader use other than medicine. The researchers, educationists, game developers, engineers, and psychiatrists are enthusiastic about the consumer grade EEG device, which has made the study of the brain accessible and its application quite convenient.
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2 min read
April 12, 2021

Articles Posted in the Month (Mar 2021)

Visual Sensors Hardware Platforms: A Review

Author: Daniel G. Costa.
Published in: IEEE Sensors Journal (Volume: 20, Issue: 8, April 2020)
The embedded sensors in camera-enabled devices like the drones and smartphones have opened immense opportunities of bringing imaging capabilities to sensor networks. The networks of connected cameras using 5G, Zigbee, WiFi, Bluetooth protocols result in an advanced technology of visual sensors platforms. Very soon we expect on-board Artificial Intelligence and Machine Learning enabled System-on-Chip wireless visual sensor network (WVSN) platforms for IoT applications.
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3 min read
March 17, 2021

Articles Posted in the Month (Feb 2021)

Sensory Systems in Micro-Processor Controlled Prosthetic Leg: A Review

Author: Nur Azah Hamzaid, Nur Hidayah Mohd Yusof, Farahiyah Jasni.
Published in: IEEE Sensors Journal (Volume: 20, Issue: 9, May 2020)
In recent years, Micro-processor controlled prosthetic legs (MPCPL) are being preferred over conventional prosthetics because they use actuators to replace missing joint function and hence are more functional. Due to this the user’s walking gait and metabolic energy consumption can be imitated very well. The state-of-the-art MPCPL takes commands from the brain through muscles motion, converts that into the user’s gait intention and performs the locomotive motion based on the kinetics sensory system’s input. Very soon the comfort of the motion control will be complimented by taking inputs of eyes and ears to ensure gait further safer.
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3 min read
February 13, 2021

Articles Posted in the Month (Jan 2021)

Developing Next-Generation Brain Sensing Technologies—A Review

Author: Jacob T. Robinson, Eric Pohlmeyer, Malte C. Gather, Caleb Kemere, John E. Kitching, George G. Malliaras, Adam Marblestone, Kenneth L. Shepard.
Published in: IEEE Sensors Journal (Volume: 19, Issue: 22, November 2020)
Brain-sensing technologies have immense opportunities and challenges for researchers to explore and identify the best strategies to translate them into products and therapies to improve patients’ lives with neurological and other disorders. It raises the possibility of creating neural interfaces that can more effectively restore or repair neural function and reveal fundamental properties of neural information processing. The transition of these technologies into commercial products and therapies has enormous scope in the future.
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3 min read
January 6, 2021

Articles Posted in the Month (Dec 2020)

Sensors and Systems for Wearable Environmental Monitoring Toward IoT-Enabled Applications: A Review

Author: Md Abdulla Al Mamun and Mehmet Rasit Yuce.
Published in: IEEE Sensors Journal (Volume: 19, Issue: 18, September 2019)
Environmental pollution has a significant impact on the health of the people and the atmosphere around them. The advancement in microelectronics, communication technologies, and miniature environmental sensing devices has boosted the wearable environmental monitoring systems (WEMS) to monitor environmental pollution. Since there is a strong interrelation between environmental pollution with the economic consequences and escalations in healthcare costs, wearable environmental devices are boon for society.
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3 min read
December 21, 2020

Articles Posted in the Month (Nov 2020)

Fire Sensing Technologies: A Review

Author: Authors: Anshul Gaur, Abhishek Singh, Ashok Kumar, Kishor S. Kulkarni, Sayantani Lala, Kamal Kapoor, Vishal Srivastava, Anuj Kumar, and Subhas Chandra Mukhopadhyay
Published in: IEEE Sensors Journal (Volume: 19, Issue: 9, May 2019)
The progress on fire sensing technologies has been quite substantial due to advancements in sensing, information, and communications technologies. The sensing system’s hardware and algorithm ensure its excellent ability to detect early fire with less false positives. The information and communication technology focuses on issuing an early warning to notify the occupants and the fire department. Developing a robust fire system demands establishing the benchmark parameters for heat, flame, smoke, and gas levels detection in every fire scenario.
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2 min read
November 9, 2020

Articles Posted in the Month (Oct 2020)

Sensing as a Service: Challenges, Solutions and Future Directions

Author: Xiang Sheng, Jian Tang, Xuejie Xiao and Guoliang Xue.
Published in: IEEE Sensors Journal (Volume: 13, Issue: 10, October 2013)
Mobile phones do have various sensors which are used for exciting sensing applications by creating a cloud computing platform. This could be used as crowd-sourced platform to create innumerable novel sensing applications which are energy-efficient too.
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2 min read
October 5, 2020

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