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A Robust Energy Management Circuit for Energy Harvesting From Wideband Low-Acceleration Vibrations in Wireless Sensor Screws 无线传感器螺钉宽带低加速度振动能量收集的鲁棒能量管理电路
IF 2.2
IEEE Sensors Letters Pub Date : 2025-07-23 DOI: 10.1109/LSENS.2025.3592235
Kholoud Hamza;Ghada Bouattour;Fatma Benbrahim;Sebastian Bader;Ahmed Fakhfakh;Olfa Kanoun
{"title":"A Robust Energy Management Circuit for Energy Harvesting From Wideband Low-Acceleration Vibrations in Wireless Sensor Screws","authors":"Kholoud Hamza;Ghada Bouattour;Fatma Benbrahim;Sebastian Bader;Ahmed Fakhfakh;Olfa Kanoun","doi":"10.1109/LSENS.2025.3592235","DOIUrl":"https://doi.org/10.1109/LSENS.2025.3592235","url":null,"abstract":"Enabling broad use of electromagnetic energy harvesting in wireless sensor screws requires robust systems that work with weak vibrations and varying frequency profiles. This contribution presents an energy management circuit incorporating two cooperating DC–DC converters controlled by self-powered <sc>mosfet</small> switches and a passive voltage multiplier enabling low-voltage start-up. The circuit operates effectively over an acceleration range of 0.07–0.21 g. It consistently harvests energy across a wider frequency range than energy management circuits based on single DC–DC converters. For example, at an acceleration of 0.21 g, the frequency range is 20–30 Hz. Thereby, it realizes, e.g., at 25 Hz, an efficiency of 72%. The proposed circuit enables robust energy harvesting in a wide frequency range, supporting wireless sensor operation even under low-vibration conditions typical of industrial predictive maintenance.","PeriodicalId":13014,"journal":{"name":"IEEE Sensors Letters","volume":"9 9","pages":"1-4"},"PeriodicalIF":2.2,"publicationDate":"2025-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144914182","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Highly Improved Ethanol Gas Sensor Sensitivity, Selectivity, and Stability of Hierarchically Cube Featured In2O3 Structures Induced by Mn- and Co-Doping Mn-和共掺杂诱导的高度改进的乙醇气体传感器的灵敏度、选择性和稳定性
IF 2.2
IEEE Sensors Letters Pub Date : 2025-07-22 DOI: 10.1109/LSENS.2025.3591892
M. B. Kgomo-Masoga;M. S. Dhlamini;G. H. Mhlongo
{"title":"Highly Improved Ethanol Gas Sensor Sensitivity, Selectivity, and Stability of Hierarchically Cube Featured In2O3 Structures Induced by Mn- and Co-Doping","authors":"M. B. Kgomo-Masoga;M. S. Dhlamini;G. H. Mhlongo","doi":"10.1109/LSENS.2025.3591892","DOIUrl":"https://doi.org/10.1109/LSENS.2025.3591892","url":null,"abstract":"Herein, we report a rapid detection of ethanol of hierarchically featured cube In<sub>2</sub>O<sub>3</sub> structures induced by Mn and Co derived from hydrothermal approach. Systematic investigation and comparison of the structural, morphological, and textural features of undoped, Mn, and Co–In<sub>2</sub>O<sub>3</sub> were probed to gain more understanding about their gas sensing performance. A sensor based on 1 mol% Mn-doped In<sub>2</sub>O<sub>3</sub> demonstrated enhanced ethanol gas sensing characteristics with a response of 35.5 toward 50 ppm of ethanol at minimal working temperature of 80 °C, good selectivity along with quick response/recovery times of 7/161 s. The excellent gas sensing results stem from the particle-interlinked nanocubes resembled by 3-D hierarchical features, which endowed large content of reactive sites for the adsorption of ethanol gas due to high surface area and mesoporous features, which permitted ethanol gas molecules diffusion in/out of the active sensing layer.","PeriodicalId":13014,"journal":{"name":"IEEE Sensors Letters","volume":"9 9","pages":"1-4"},"PeriodicalIF":2.2,"publicationDate":"2025-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144867648","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Enhanced Electrical Impedance Tomography Using Rotating Radial Injection: A Quantitative Study on an Electrical Biomimetic Thoracic Phantom 基于旋转径向注射的增强电阻抗断层扫描：电仿生胸体的定量研究
IF 2.2
IEEE Sensors Letters Pub Date : 2025-07-21 DOI: 10.1109/LSENS.2025.3591271
Oumaima Bader;Hanyu Yang;Mariem Hafsa;Najoua Essoukri Ben Amara;Olfa Kanoun
{"title":"Enhanced Electrical Impedance Tomography Using Rotating Radial Injection: A Quantitative Study on an Electrical Biomimetic Thoracic Phantom","authors":"Oumaima Bader;Hanyu Yang;Mariem Hafsa;Najoua Essoukri Ben Amara;Olfa Kanoun","doi":"10.1109/LSENS.2025.3591271","DOIUrl":"https://doi.org/10.1109/LSENS.2025.3591271","url":null,"abstract":"Identifying the optimal current injection pattern is crucial in electrical impedance tomography (EIT) to improve image reconstruction accuracy. This study compares the performance of a newly proposed rotating radial current injection pattern with the commonly used in EIT, which are the adjacent and opposite injection patterns. The evaluation is realized on a biomimetic thorax-shaped resistor mesh phantom by evaluating quantitative metrics derived from measured boundary voltages, including condition number (<inline-formula><tex-math>$k$</tex-math></inline-formula>), dynamic range (DR), and mean sensitivity (<inline-formula><tex-math>$S$</tex-math></inline-formula>). The investigation is based on the evaluation of the image correlation coefficient (ICC) and the structural similarity index measure <inline-formula><tex-math>$(SSIM)$</tex-math></inline-formula>, comparing reconstructed images from simulation and measurement data to assess reconstruction accuracy. Results demonstrate that the rotating radial pattern achieves an ICC of 0.98, an SSIM of 0.82, a lower <inline-formula><tex-math>$k$</tex-math></inline-formula>, a higher <inline-formula><tex-math>$S$</tex-math></inline-formula>, and an increased DR compared to the adjacent and opposite patterns. These findings highlight the potential of the rotating radial pattern to advance EIT imaging performance for diverse applications in lung imaging.","PeriodicalId":13014,"journal":{"name":"IEEE Sensors Letters","volume":"9 9","pages":"1-4"},"PeriodicalIF":2.2,"publicationDate":"2025-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144909418","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A Hall Effect-Based Force Sensing Mechanism for Force Sensing Inside Magnetic Resonance Imaging Scanner 基于霍尔效应的磁共振成像扫描仪内部力传感机构
IF 2.2
IEEE Sensors Letters Pub Date : 2025-07-21 DOI: 10.1109/LSENS.2025.3591071
Yen-Chun Chen;Ran Hao;Adam Thompson;Mark Griswold;M. Cenk Çavuşoğlu
{"title":"A Hall Effect-Based Force Sensing Mechanism for Force Sensing Inside Magnetic Resonance Imaging Scanner","authors":"Yen-Chun Chen;Ran Hao;Adam Thompson;Mark Griswold;M. Cenk Çavuşoğlu","doi":"10.1109/LSENS.2025.3591071","DOIUrl":"https://doi.org/10.1109/LSENS.2025.3591071","url":null,"abstract":"This letter proposes a Hall-effect-based MRI-safe force sensing mechanism. The proposed force sensing mechanism measures 1 degree-of-freedom force under the 3-T static magnetic field inside the bore of an MRI scanner by utilizing a Hall-effect sensor placed on the end of a cantilever beam. Specifically, the Hall-effect sensor detects the changes in the magnetic flux density when forces are applied to the cantilever beam and the orientation of the sensor attached to the cantilever beam changes. It outputs the voltage signals that are approximately proportional to the force applied. Experiments are conducted to evaluate the proposed force sensing mechanism's accuracy and repeatability.","PeriodicalId":13014,"journal":{"name":"IEEE Sensors Letters","volume":"9 9","pages":"1-4"},"PeriodicalIF":2.2,"publicationDate":"2025-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144831828","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Anomaly Detection Using Data-Driven Sparse Sensors: Combination of Modal Representation and Sensor Optimization for Sensing of Targeted Variable 基于数据驱动的稀疏传感器异常检测：模态表示与传感器优化相结合的目标变量感知
IF 2.2
IEEE Sensors Letters Pub Date : 2025-07-21 DOI: 10.1109/LSENS.2025.3591066
Yuji Saito;Ryoma Inoba;Yasuo Sasaki;Takayuki Nagata;Keigo Yamada;Taku Nonomura
{"title":"Anomaly Detection Using Data-Driven Sparse Sensors: Combination of Modal Representation and Sensor Optimization for Sensing of Targeted Variable","authors":"Yuji Saito;Ryoma Inoba;Yasuo Sasaki;Takayuki Nagata;Keigo Yamada;Taku Nonomura","doi":"10.1109/LSENS.2025.3591066","DOIUrl":"https://doi.org/10.1109/LSENS.2025.3591066","url":null,"abstract":"We propose an anomaly detection method based on modal representation and a noise-robust sparse sensor position optimization method. We focus on the detection of anomalies in global sea surface temperature field observations indicative of El Niño and La Niña phenomena. For evaluation, we compared four methods, namely, the random linear least squares estimation method, the determinant-based greedy linear least squares method, the DG with noise covariance generalized linear least squares (DG/NC-GLS) estimation, and the Bayesian DG Bayesian estimation (BDG-BE) method of which the extension is proposed in this study. The results demonstrate that the DG/NC-GLS and BDG-BE methods outperform the other methods in anomaly detection. In fact, the DG/NC-GLS and BDG-BE methods achieve high accuracy and precision of over 81% with only 20 sensors (44 219 sensor candidates) for anomaly detection in global sea surface temperature field observations.","PeriodicalId":13014,"journal":{"name":"IEEE Sensors Letters","volume":"9 8","pages":"1-4"},"PeriodicalIF":2.2,"publicationDate":"2025-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144810704","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
IEEE Sensors Letters Subject Categories for Article Numbering Information 用于物品编号信息的IEEE传感器字母主题分类
IF 2.2
IEEE Sensors Letters Pub Date : 2025-07-18 DOI: 10.1109/LSENS.2025.3588706
{"title":"IEEE Sensors Letters Subject Categories for Article Numbering Information","authors":"","doi":"10.1109/LSENS.2025.3588706","DOIUrl":"https://doi.org/10.1109/LSENS.2025.3588706","url":null,"abstract":"","PeriodicalId":13014,"journal":{"name":"IEEE Sensors Letters","volume":"9 7","pages":"3-3"},"PeriodicalIF":2.2,"publicationDate":"2025-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11084964","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144657378","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
IEEE Sensors Letters Publication Information IEEE传感器通讯出版信息
IF 2.2
IEEE Sensors Letters Pub Date : 2025-07-18 DOI: 10.1109/LSENS.2025.3588702
{"title":"IEEE Sensors Letters Publication Information","authors":"","doi":"10.1109/LSENS.2025.3588702","DOIUrl":"https://doi.org/10.1109/LSENS.2025.3588702","url":null,"abstract":"","PeriodicalId":13014,"journal":{"name":"IEEE Sensors Letters","volume":"9 7","pages":"C2-C2"},"PeriodicalIF":2.2,"publicationDate":"2025-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11084972","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144657379","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
PPG Sensor-Based Biometric Identification and Physiological Analysis via Temporal-Frequency Disentanglement With Liquid Neural Networks 基于PPG传感器的液体神经网络时频解缠生物特征识别与生理分析
IF 2.2
IEEE Sensors Letters Pub Date : 2025-07-18 DOI: 10.1109/LSENS.2025.3590543
Zexing Zhang;Huimin Lu;Qingxin Zhao;Kai Wen;Bing Liu
{"title":"PPG Sensor-Based Biometric Identification and Physiological Analysis via Temporal-Frequency Disentanglement With Liquid Neural Networks","authors":"Zexing Zhang;Huimin Lu;Qingxin Zhao;Kai Wen;Bing Liu","doi":"10.1109/LSENS.2025.3590543","DOIUrl":"https://doi.org/10.1109/LSENS.2025.3590543","url":null,"abstract":"Photoplethysmography (PPG) sensors support both physiological monito- ring and biometric identification, making them key components in wearable sensing systems. However, real-world applications face challenges from signal nonstationarity and physiological variability. This work proposes a temporal-frequency manifold disentanglement framework to improve the robustness and accuracy of PPG-based biometric recognition. A closed-form continuous-time (CfC) liquid neural network captures temporal and spectral features from raw PPG signals, while an orthogonal manifold projection separates identity-related and physiological representations. To support physiological analysis, we construct and release a new multiphysiological PPG dataset with synchronized annotations for body mass index (BMI), blood pressure, blood glucose, and heart rate. Our method achieves 94.12% accuracy (F1-score: 0.93), outperforming eight state-of-the-art approaches. Further analysis reveals that BMI, blood glucose, and heart rate strongly influence identity features, highlighting the need for physiologically aware modeling in sensor systems. The proposed framework enhances PPG sensor signal interpretation, offering a scalable solution for real-time biometric sensing applications.","PeriodicalId":13014,"journal":{"name":"IEEE Sensors Letters","volume":"9 8","pages":"1-4"},"PeriodicalIF":2.2,"publicationDate":"2025-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144751086","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
SSPP-SIW Integrated Microwave Bandpass Filtering Sensor for 3-D Printed Material Real-Permittivity Characterization 用于三维打印材料实介电常数表征的集成微波带通滤波传感器
IF 2.2
IEEE Sensors Letters Pub Date : 2025-07-17 DOI: 10.1109/LSENS.2025.3590238
Xin Zhou;Liang Yue;Chaoyu Jiang;Kam-Weng Tam;Gang Zhang;Zhuowei Zhang;Chi-Hou Chio;Dong Pan;Tuan Guo
{"title":"SSPP-SIW Integrated Microwave Bandpass Filtering Sensor for 3-D Printed Material Real-Permittivity Characterization","authors":"Xin Zhou;Liang Yue;Chaoyu Jiang;Kam-Weng Tam;Gang Zhang;Zhuowei Zhang;Chi-Hou Chio;Dong Pan;Tuan Guo","doi":"10.1109/LSENS.2025.3590238","DOIUrl":"https://doi.org/10.1109/LSENS.2025.3590238","url":null,"abstract":"This work presents a novel microwave sensor device for selec- tive quantification of material permittivity (<italic>ϵ</i><sub>r</sub>′) through spoof surface plasmon polariton (SSPP)-substrate integrated waveguide (SIW) integration. The proposed sensor innovatively converts dielectric property variations into measurable microwave signals via a unique transduction mechanism: passband bandwidth modulation directly controlled by <italic>ϵ</i><sub>r</sub>′. Specifically, the upper cutoff frequency shift in the SSPP-SIW sensor device serves as the sensing parameter, establishing a direct correspondence (399.3 MHz/unit <italic>ϵ</i><sub>r</sub>′) between electrical response and material dielectric properties. Compared to conventional permittivity measurement techniques, this design achieves enhanced sensitivity through SSPP field confinement while maintaining compatibility with standard microwave systems. Experimental validation demonstrates dual-functional operation as both sensor and filter, with particular effectiveness in real-time dielectric characterization of 3D-printed microwave components.","PeriodicalId":13014,"journal":{"name":"IEEE Sensors Letters","volume":"9 8","pages":"1-4"},"PeriodicalIF":2.2,"publicationDate":"2025-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144725245","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Point Cloud-Based 3-D Tracking for Asynchronous and Uncalibrated Multicamera Systems 异步和非校准多摄像机系统的基于点云的三维跟踪
IF 2.2
IEEE Sensors Letters Pub Date : 2025-07-17 DOI: 10.1109/LSENS.2025.3590157
Junhao Li;Kohei Shimasaki;Feiyue Wang;Idaku Ishii
{"title":"Point Cloud-Based 3-D Tracking for Asynchronous and Uncalibrated Multicamera Systems","authors":"Junhao Li;Kohei Shimasaki;Feiyue Wang;Idaku Ishii","doi":"10.1109/LSENS.2025.3590157","DOIUrl":"https://doi.org/10.1109/LSENS.2025.3590157","url":null,"abstract":"Accurate 3-D tracking in heterogeneous, unsynchronized multicamera systems remains challenging because of calibration overhead and temporal drift. In this study, we present a point cloud- based framework that reconstructs the target trajectories without prior calibration or hardware synchronization. A sparse environmental point cloud provides a stable spatial reference; camera poses are estimated using perspective-n-point and refined with bundle adjustment. Moving objects are detected through k-nearest neighbor foreground extraction, and 2-D tracks are compressed into 1-D motion signals. Variational mode decomposition suppresses noise, whereas a two step alignment—subsequence dynamic time warping followed by sliding window fine matching—synchronizes asynchronous video streams. Robust triangulation recovers 3-D path. This method offers a low cost and easily deployable solution for wide area multitarget monitoring.","PeriodicalId":13014,"journal":{"name":"IEEE Sensors Letters","volume":"9 9","pages":"1-4"},"PeriodicalIF":2.2,"publicationDate":"2025-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144853070","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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