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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 (March 2025)
EV-Fusion: A Novel Infrared and Low-Light Color Visible Image Fusion Network Integrating Unsupervised Visible Image Enhancement
Author: Wang Xia, Sun Qiyang, Yan Changda, Zhang Xin
Published in: IEEE Sensors Journal (Volume: 24, Issue: 4, February 2024)
Summary Contributed by: Saurabh Dubey
EV-Fusion is an innovative technology for low-light visibility applications. It enhances infrared and color images, surpassing nine leading methods in visual fidelity, brightness, and spatial frequency. Its real-time, high-contrast fusion capabilities show promise for military surveillance and traffic security, ensuring visibility of critical details in low-light conditions. Built on a Swin Local-Global Block framework, it utilizes color visible image enhancement and intensity image fusion modules to enhance texture and overall image quality.
Classification Strategies for Radar-Based Continuous Human Activity Recognition With Multiple Inputs and Multilabel Output
Author: Ingrid Ullmann, Ronny G. Guendel, Nicolas Christian Kruse, Francesco Fioranelli, Alexander Yarovoy
Published in: IEEE Sensors Journal (Volume: 24, Issue: 24, December 2024)
Summary Contributed by: Ullmann Ingrid (Author)
Fall detection systems can support independent living for people prone to falls. This paper introduces a novel approach using a radar-based continuous human activity recognition(HAR) system to study different activities by processing radar data in segments and using multilabel classification to recognize activities. The study explores deep learning methods, sensor networks, radar data types, and classification settings to enhance the effectiveness of accurate real-time activity recognition and detecting falls.
Published in: IEEE Sensors Journal (Volume: 24, Issue: 18, September 2024)
Summary Contributed by: Saurabh Dubey
A breakthrough in PbSe thin-film transverse thermoelectric (TTE) photodetectors enhances sensitivity by adding 15-µm graphite coatings with light-trapping structures. This innovation improves photothermal conversion and sensitive light absorption, achieving a detection sensitivity of 415 µV cm/W, five times higher than traditional uncoated films. The increased efficiency positions this sensor as an advanced self-powered, ultrabroadband photodetector with future thermal sensor applications across various fields, ranging from ultraviolet to far-infrared wavelengths.
A Novel Plasmonic Nanoantenna-Based Sensor for Illicit Materials and Drugs Detection
Author: Marco Scalici, Patrizia Livreri
Published in: IEEE Sensors Journal (Volume: 24, Issue: 17, September 2024)
Summary Contributed by: Patrizia Livreri (Author)
The advancements in terahertz(THz) radiation have opened avenues for potential applications in the security and defense sectors. This paper introduces novel plasmonic nanoantennas-based sensors for detecting illicit materials and drugs through terahertz (THz) spectroscopy. Two innovative designs, the butterfly and shamrock nanoantennas, offer high sensitivity across specific THz frequencies. Their combined performance enables accurate, non-destructive molecular identification, providing an advanced tool for security, biomedical, and environmental applications.
Displacement Sensitivity and Range Enhancement Through Buckled Beam-Assisted OE-HCCR
Author: Qi Zhang, Yizheng Chen, Zhuo Li, Yan Tang, Yun Liang, Yi Huang, Xiaobei Zhang
Published in: IEEE Sensors Journal (Volume: 24, Issue: 18, September 2024)
Summary Contributed by: Kamalesh Tripathy
Displacement measurement sensitivity has broad industrial, scientific and construction applications. The paper proposes an ultrasensitive and wide-range displacement sensor using an open-ended hollow coaxial cable resonator (OE-HCCR) assisted by a buckled beam. The integration of buckled beams enhances sensitivity and extends the measurement range. The sensor demonstrates significant improvements in signal-to-noise ratio and accuracy. The developed system will contribute to advancing micro-scale and nano-scale displacement technology.
Monitoring of Lactococcus Lactis Growth Based on Reduced-Graphene Oxide TFT for Dairy Industry Applications
Author: L. Franchin, S. Casalini, A. Cester; A. Paccagnella, S. Bonaldo
Published in: IEEE Sensors Journal (Volume: 24, Issue: 17, September 2024)
Summary Contributed by: Franchin Lara (Author)
The biological activity of Lactococcus lactis (L. lactis) affects milk fermentation. This paper explores reduced-graphene oxide thin-film (rGO-TFT) to develop an effective biosensor, based on the field-effect transistor, for monitoring bacteria proliferation in dairy plants. This biosensor offers a real-time, highly sensitive, reliable, and non-invasive method to assess fermentation processes by detecting changes in electrical properties as bacterial populations grow, thus enabling precise bacterial growth monitoring in the dairy industry.
Deep Neural Network-Assisted Terahertz Metasurface Sensors for the Detection of Lung Cancer Biomarkers
Author: Hu Fangrong, Su An, Yang Mo, Chen Jie, Lin Shangjun, Ma Xiaoya
Published in: IEEE Sensors Journal (Volume: 24, Issue: 10, May 2024)
Summary Contributed by: Saurabh Dubey
Terahertz (THz) metasurface sensing technology, combined with deep neural networks (DNNs), offers an innovative method for detecting lung cancer biomarkers, including miRNA-21, miRNA-92a, and miRNA-339-3p. This integrated system achieved a classification accuracy of 97.22% for miRNA-21, showcasing its effectiveness as a low-energy, label-free solution for early cancer detection. It demonstrates significant advantages over traditional methods for real-time clinical applications, facilitating rapid diagnosis and monitoring of lung cancer.
Self-Powered and Cost-Effective Wireless Sensor Node for Air Quality Monitoring With an Optically Transparent Smart Antenna System
Author: Maria Bermudez Arboleda, Atif Shamim
Published in: IEEE Sensors Journal (Volume: 24, Issue: 18, September 2024)
Summary Contributed by: Maria Bermudez Arboleda (Author)
Air quality monitoring is crucial for the environment and public health. However, traditional air quality monitoring systems are bulky, costly, and challenging to install. To overcome these shortcomings, this study introduces a compact, self-powered sensor node with optically transparent, reconfigurable antennas and modular solar panels. Its innovative design enables 80% size reduction. Equipped with comprehensive pollutant detectors, easy deployment of these cost-effective sensors enables high-resolution monitoring, previously unattainable with traditional systems.
Design and Output Voltage Model of Folding Magnetized Electronic Skin for Intelligent Manipulator
Author: Guoheng Lin, Ling Weng; Hui Zhang, Yang Liu, Yuxin Chen, Zhuolin Li
Published in: EEE Sensors Journal (Volume: 24, Issue: 18, September 2024)
Summary Contributed by: Payal Savani
Flexible electronic skin (e-skin) broadens the application of tactile sensing and flexible sensor technology. The paper presents the design and modeling of a folding magnetized electronic skin with advanced multilayer designs and mathematical modeling for intelligent manipulators. It also combines flexible electronics and magnetic sensing for enhanced flexibility and precision. This e-skin boosts robotics performance in complex tasks requiring precise object handling and interaction by providing tactile and spatial awareness.
A Self-Calibration Method for Engineering Using 3-D Laser Scanning System Based on Cube Vertices
Author: Hongqiang Chen, Ruiheng Xia, Yi Zhang, Hua Deng, Kejun Li
Published in: IEEE Sensors Journal (Volume: 24, Issue: 3, February 2024)
Summary Contributed by: Yi Zhang (Author)
To meet the rapid calibration needs of engineering sites, a novel self-calibration technique is proposed for 3D scanners using 2D light detection and ranging (LiDAR) and a rotating platform. The calibration process uses a cube of known size as the calibration object, ensuring a straightforward process with no additional equipment. This approach addresses the limitations of shape-based calibration, enabling efficient on-site calibration and accurate measurements for most engineering applications.
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.
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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