Get exclusive breakthroughs on sensors in IoT, energy, healthcare, and more, delivered straight to your inbox.
"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 (October 2025)
Enhancement of Target Localization Based on Angle-of-Arrival Measurement via Quantum Sensor Networks
Author: Chai Hongzhou, Hui Jun
Published in: IEEE Sensors Journal (Volume: 25, Issue: 6, March 2025)
Summary Contributed by: Hongzhou Chai (Author)
With the advancement of quantum information technology, integrating quantum resources, such as entangled photons into traditional measurement fields can improve parameter estimation accuracy. This study introduces a novel quantum-enhanced angle-of-arrival (AoA) estimation method for evaluating the performance of a quantum sensing localization system. The work contributes to realizing quantum navigation and localization with drastically improved integrated accuracy, thereby refining its applications in radar, navigation, wireless communication, and target localization.
Published in: IEEE Sensors Journal (Volume: 25, Issue: 5, March 2025)
Summary Contributed by: Simone Benatti (Author)
Accurate hand motion modeling is important for intuitive human–machine interaction (HMI). This paper introduces an event-based high-density surface electromyography encoding method for multifinger force estimation, optimized for real-time, low-power microcontroller applications. Evaluated on the High-densitY Surface Electromyogram Recording (HYSER) dataset in realistic multiday settings, it showed competitive accuracy. With energy consumption under 6.5 μJ per sample and latency below 280 μs, it enables efficient, real-time regression for future wearable HMI applications.
Volatile Organic Compounds (VOCs) pose significant health risks, making the effective monitoring of these compounds essential. This article presents a novel, cost-effective chemoresistive sensor that uses citrate-functionalized gold nanoparticles (AuNPs) deposited on cotton fabric for precise acetone (CH3COCH3) detection. Its impedance-based mechanism demonstrates high selectivity and strong reusability. This AuNP-Textile sensor offers a promising solution for portable, real-time VOC exposure assessment in applications ranging from health monitoring to environmental pollution.
A Multimatrix E-Nose With Optimal Multiranged AFE Circuit for Human Volatilome Fingerprinting
Author: Radogna Antonio Vincenzo, Capone Simonetta, D'Amico Stefano, Forleo Angiola, Grassi Giuseppe, Siciliano Pietro Aleardo
Published in: IEEE Sensors Journal (Volume: 25, Issue: 5, March 2025)
Summary Contributed by: Radogna Antonio Vincenzo (Author)
The human volatilome, a combination of volatile organic compounds (VOCs) present in breath and bodily fluids, reflects overall health and can signal the early onset of disease. This study presents SPYROX, an electronic nose that converts VOC signatures into digital fingerprints. It features a multirange analog front-end (AFE) circuit with a multimatrix learning algorithm for adaptive sensitivity across diverse samples. SPYROX offers an accurate, non-invasive, portable solution for routine health screenings and diagnostics.
Published in: IEEE Sensors Journal (Volume: 25, Issue: 5, March 2025)
Summary Contributed by: Saurabh Dubey
Niobium-doped BZT-BCT thin films are emerging as a sustainable, high-performance alternative to the toxic lead zirconate titanate (PZT) for piezoelectric devices. Fabricated via a sol-gel process and optimized poling, these lead-free films exhibit enhanced dielectric, ferroelectric, and piezoelectric properties. With stable switching, improved resonance, and strong mechanical integrity, they demonstrate promise for MEMS devices, biomedical implants, and energy-harvesting applications, thus paving the way for eco-friendly piezoelectric technologies.
Published in: IEEE Sensors Journal (Volume: 25, Issue: 5, March 2025)
Summary Contributed by: Hussain Irfan (Author)
Supernumerary robotic arms (SRAs) can assist post-stroke patients with daily activities. However, its conventional designs are bulky and power-hungry. This paper introduces a novel SRA featuring twisted, string-driven flexure joints that eliminate large actuators, resulting in a compact, lightweight, and energy-efficient wearable device. This advance in assistive robotics empowers stroke survivors to regain independence in bimanual activities and paves the way for the next generation of affordable, human-assistive technologies.
Smart, Wearable and Power-Controlled Mixed-Signal Platform for Screening and Follow-Up of Cystic Fibrosis Based on Real-Time Chloride Concentration Evaluation in Sweat
Author: De Venuto Daniela, Bollella Paolo, De Venuto Domenica, Mascellaro Grazia, Spadavecchia Giuseppe, Torsi Luisa
Published in: IEEE Sensors Journal (Volume: 25, Issue: 5, March 2025)
Summary Contributed by: Payal Savani
Wearable sensors have garnered significant attention in recent years, particularly in the realm of personalized diagnostics and continuous health monitoring. This paper discusses the development of a wearable sweat-based sensor system for monitoring cystic fibrosis (CF) in patients. It offers a resolution of ±2 mV and sensitivity of 56.9 mV/dec, with an average power consumption of 350 micro watts. The sensor is a compact, energy-efficient, and developed for home use.
A Wearable Multisensor Fusion System for Neuroprosthetic Hand
Author: Liu Honghai, Meng Jianjun, Ding Han, Guo Weichao, Shi Shang, Yang Xingchen, Yin Zongtian
Published in: IEEE Sensors Journal (Volume: 25, Issue: 8, April 2025)
Summary Contributed by: Liu Honghai (Author)
Getting a near-natural control from neuroprosthetic hands is challenging. This study introduces a compact, wearable multisensor system that integrates ultrasound, surface electromyography (sEMG), and Inertial Measurement Unit (IMU) sensors to improve prosthetic hand control. Ultrasound and EMG model gestures, sEMG detects resting states, and the IMU filters unintended movements like shaking. The system's small size allows seamless integration into prosthetic sockets, and control strategies enhance stability, offering an improved experience for amputees.
An Open-Path Optical Sensor for Hydrogen Sulfide and Methane Detection by QCL
Author: Li Jun, Fan Binbin, Hao Le, Jaworski Piotr, Luan Guohua, Ma Tian, Wang Zhen, Zeng Qingjie, Zhai Xiaowei, Zhang Jiarui
Published in: IEEE Sensors Journal (Volume: 25, Issue: 5, March 2025)
Summary Contributed by: Saurabh Dubey
A Quantum Cascade Laser–based open-path optical sensor enables real-time, precise, and high-sensitivity detection of harmful hydrogen sulfide (H₂S) and methane (CH₄) gases up to 50 m and a response time of 3.4 s. Resistant to water vapor interference, it delivers a strong signal-to-noise ratio, surpassing traditional sensors. Ideal for remote oilfields, refineries, and hazardous sites, it ensures reliable long-range monitoring with future IoT integration and multi-gas detection for enhanced industrial safety.
Nonlinear Behavioral Model of Capacitive MEMS Microphone for Predicting Ultrasound Intermodulation Distortion
Author: Rahaman Ashiqur, Albahri Shehab, Boor Steven, Bradt Christopher, Lee Sung B.
Published in: IEEE Sensors Journal (Volume: 25, Issue: 1, January 2025)
Summary Contributed by: Ashiqur Rahaman (Author)
Ultrasound intermodulation distortion (IMD) in microphones, particularly in hearing aids, can lead to audible distortions around ultrasonic devices. The primary source of this nonlinearity is the micro-electromechanical systems (MEMS) transducer. This paper explores how specific design features of capacitive MEMS microphones affect IMD using a nonlinear behavioral model to reduce distortion while maintaining acoustic performance. The optimized design shows 15 dB IMD reduction at 20 kHz, providing excellent electro-acoustic characteristics.
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.
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.
A non-profit organization, IEEE is the world's largest technical professional organization dedicated to advancing technology for the benefit of humanity.
Copyright 2023 IEEE – All rights reserved. Use of this website signifies your agreement to the IEEE Terms and Conditions
This site is also available on your smartphone.
