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IEEE Sensors Letters Publication Information IEEE传感器通讯出版信息
IF 2.4
IEEE Sensors Letters Pub Date : 2026-08-01 Epub Date: 2026-08-19 DOI: 10.1109/LSENS.2026.3719013
{"title":"IEEE Sensors Letters Publication Information","authors":"","doi":"10.1109/LSENS.2026.3719013","DOIUrl":"https://doi.org/10.1109/LSENS.2026.3719013","url":null,"abstract":"","PeriodicalId":13014,"journal":{"name":"IEEE Sensors Letters","volume":"10 8","pages":"0202201-0202201"},"PeriodicalIF":2.4,"publicationDate":"2026-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11659612","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148781322","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
MTJ Sensor-Based Magnetic Microparticle Detection With Edge ML 基于MTJ传感器的磁微粒边缘检测
IF 2.4
IEEE Sensors Letters Pub Date : 2026-08-01 Epub Date: 2026-07-17 DOI: 10.1109/LSENS.2026.3714275
Salem Al-Saqaf;Divyanshu Divyanshu;Meng Tang;Selma Amara;Gianluca Setti
{"title":"MTJ Sensor-Based Magnetic Microparticle Detection With Edge ML","authors":"Salem Al-Saqaf;Divyanshu Divyanshu;Meng Tang;Selma Amara;Gianluca Setti","doi":"10.1109/LSENS.2026.3714275","DOIUrl":"https://doi.org/10.1109/LSENS.2026.3714275","url":null,"abstract":"This work presents a proof-of-concept platform for magnetic particle sensing using a magnetic tunnel junction (MTJ) sensor integrated with an embedded machine learning (ML) pipeline for automated particle signal analysis. The MTJ device is experimentally characterized under varying temperature conditions to evaluate its resistance behavior and tunnel magnetoresistance stability. The sensing platform combines analog signal conditioning, microcontroller-based event detection, and feature processing at the edge. Transient signals generated by particle passages are analyzed using lightweight ML models, achieving a 95.81% accuracy. The results demonstrate the feasibility of combining MTJ sensing with edge ML for compact magnetic biosensing systems.","PeriodicalId":13014,"journal":{"name":"IEEE Sensors Letters","volume":"10 8","pages":"2504404-2504404"},"PeriodicalIF":2.4,"publicationDate":"2026-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148627497","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
Wavelength Dependence and Transient Photoresponse Mechanisms in Aerosol-Jet Printed ZnO Nanowire Ultraviolet Photodetectors 气溶胶-喷射印刷ZnO纳米线紫外探测器的波长依赖性和瞬态光响应机制
IF 2.4
IEEE Sensors Letters Pub Date : 2026-08-01 Epub Date: 2026-06-08 DOI: 10.1109/LSENS.2026.3701529
Chenkun Lyu;Haoyi Lin;Joseph Andrews
{"title":"Wavelength Dependence and Transient Photoresponse Mechanisms in Aerosol-Jet Printed ZnO Nanowire Ultraviolet Photodetectors","authors":"Chenkun Lyu;Haoyi Lin;Joseph Andrews","doi":"10.1109/LSENS.2026.3701529","DOIUrl":"https://doi.org/10.1109/LSENS.2026.3701529","url":null,"abstract":"Ultraviolet (UV) radiation poses significant health risks, motivating the development of reliable UV sensing systems. This letter presents an aerosol-jet-printed zinc oxide (ZnO) nanowire UV photodetector fabricated on a Si/SiO<sub>2</sub> substrate using printed interdigitated Ag electrodes and a ZnO nanowire sensing layer. The device exhibits strong wavelength- and intensity-dependent photoresponse under 340 and 375 nm UV illumination at a 1 V bias. At the same irradiance of 60 <italic>μ</i>W·cm<sup>−2</sup>, the photocurrent reached ∼0.9 mA at 340 nm and ∼0.11 mA at 375 nm, corresponding to responsivities of 31.71 and 3.67 A/W, respectively. Transient measurements reveal pronounced persistent photoconductivity and strong dependence of recovery behavior on illumination conditions. In addition, thermal cycling experiments and a 10-nm Al<sub>2</sub>O<sub>3</sub> atomic layer deposition encapsulation layer were used to investigate the role of oxygen-related surface processes in carrier transport and recovery dynamics. These results provide insight into the transient photoresponse mechanisms of ZnO nanowire UV photodetectors and the influence of surface interactions on device behavior.","PeriodicalId":13014,"journal":{"name":"IEEE Sensors Letters","volume":"10 8","pages":"3504704-3504704"},"PeriodicalIF":2.4,"publicationDate":"2026-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148628257","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
Camera Sensor Qualification for Multiview Vehicle Detection 多视点车辆检测的相机传感器鉴定
IF 2.4
IEEE Sensors Letters Pub Date : 2026-08-01 Epub Date: 2026-07-02 DOI: 10.1109/LSENS.2026.3709849
Vincent Lassen;Maximilian Lübke;Eva Russwurm;Norman Franchi
{"title":"Camera Sensor Qualification for Multiview Vehicle Detection","authors":"Vincent Lassen;Maximilian Lübke;Eva Russwurm;Norman Franchi","doi":"10.1109/LSENS.2026.3709849","DOIUrl":"https://doi.org/10.1109/LSENS.2026.3709849","url":null,"abstract":"This work presents a systematic evaluation of the impact of camera sensor quality on vision-based vehicle detection and multicamera fusion in a controlled parking-lot model. It investigates whether multiple low-quality cameras can achieve performance comparable to high-quality systems. Sensor properties, including spatial resolution, noise behavior, and dynamic range, are analyzed using a reproducible evaluation procedure. A bird’s-eye-view detection and fusion pipeline enables direct attribution of performance variations to hardware characteristics. Experiments under controlled illumination (sunny, cloudy, and nighttime) show that detection performance does not increase monotonically with resolution, achieving best results at intermediate resolutions (mIoU up to 0.9156), while both lower (0.8054) and higher resolutions reduce performance. High-quality sensors provide higher localization accuracy and robustness, particularly under low-light conditions. Fusion achieves intersection-over-union values up to 0.83, with sensor quality directly affecting accuracy and variance. Multiview fusion can partially compensate for lower sensor quality, though with increased noise sensitivity. The proposed methodology enables objective comparison and selection of camera systems for robust parking monitoring.","PeriodicalId":13014,"journal":{"name":"IEEE Sensors Letters","volume":"10 8","pages":"5504904-5504904"},"PeriodicalIF":2.4,"publicationDate":"2026-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148628277","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
Novel Sputtered Metal Oxides (SnO2:F, HfO2, WO3) for High-Sensitivity HMR-Based Optical Refractometers 用于高灵敏度hmr光学折射计的新型溅射金属氧化物(SnO2:F, HfO2, WO3)
IF 2.4
IEEE Sensors Letters Pub Date : 2026-08-01 Epub Date: 2026-07-02 DOI: 10.1109/LSENS.2026.3709661
Angel Correa-Fernández;Elieser E. Gallego-Martínez;Carlos Ruiz Zamarreño;Ignacio R. Matías
{"title":"Novel Sputtered Metal Oxides (SnO2:F, HfO2, WO3) for High-Sensitivity HMR-Based Optical Refractometers","authors":"Angel Correa-Fernández;Elieser E. Gallego-Martínez;Carlos Ruiz Zamarreño;Ignacio R. Matías","doi":"10.1109/LSENS.2026.3709661","DOIUrl":"https://doi.org/10.1109/LSENS.2026.3709661","url":null,"abstract":"Hyperbolic mode resonances (HMR)-based devices, presented as the natural successors of lossy mode resonance-based devices, can provide deep and stable resonances with remarkable sensitivity. However, they are still in its infancy with ample room for the exploration of novel materials that enable the generation of HMR. This work explores the utilization of fluorinated tin oxide (SnO<sub>2</sub>:F), hafnium dioxide (HfO<sub>2</sub>), and tungsten trioxide (WO<sub>3</sub>) as external coatings for HMR generation using a planar waveguide configuration (24 mm x 32 mm coverslips). Basic HMR structure consisted of a combination of DC and RF sputtered coatings of an intermediate Au layer and a metal oxide external layer, respectively. The sensors’ spectral responses were measured over a refractive index (RI) range spanning from air (≈1.0) to 1.45, covering relevant analytes in gas and liquid sensing. HMR sensors exhibited distinct resonance features that shift systematically with increasing RI, enabling accurate label-free refractometry. The obtained sensitivity, figure of merit, and linearity are compared across the three devices, highlighting the influence of the hyperbolic metamaterial design on the sensing performance. Obtained results demonstrate that HMR-based sensors can provide compact and versatile platforms for RI detection, with enormous potential for integration into lab-on-a-chip systems.","PeriodicalId":13014,"journal":{"name":"IEEE Sensors Letters","volume":"10 8","pages":"3504404-3504404"},"PeriodicalIF":2.4,"publicationDate":"2026-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148626391","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
High-Resolution Direct-Ink-Writing of Microelectrodes for Dielectrophoresis-Based Nanowire Assembly and Flexible Photodetectors 用于介电基纳米线组件和柔性光电探测器的微电极的高分辨率直接墨水书写
IF 2.4
IEEE Sensors Letters Pub Date : 2026-08-01 Epub Date: 2026-06-11 DOI: 10.1109/LSENS.2026.3702559
Yilin Song;Abhishek Singh Dahiya;Dhayalan Shakthivel;Ravinder Dahiya
{"title":"High-Resolution Direct-Ink-Writing of Microelectrodes for Dielectrophoresis-Based Nanowire Assembly and Flexible Photodetectors","authors":"Yilin Song;Abhishek Singh Dahiya;Dhayalan Shakthivel;Ravinder Dahiya","doi":"10.1109/LSENS.2026.3702559","DOIUrl":"https://doi.org/10.1109/LSENS.2026.3702559","url":null,"abstract":"Capillary-driven direct-ink-writing (DIW) printing offers a powerful route to high-resolution microelectrode fabrication, combining submicrometer patterning capability with mask-free, additive processing on flexible substrates, while eliminating the need for cleanroom infrastructure and hazardous chemical waste associated with conventional photolithography-based methods for obtaining high-resolution electrodes. In this work, these strengths are exploited to address a key challenge in dielectrophoresis (DEP)-based nanowire (NW) assembly, namely, the need for microelectrodes with gaps closely matched to NW length for effective trapping. By optimizing nozzle geometry and printing parameters, interdigitated silver nanoparticle microelectrodes with a 10 µm gap were directly printed onto flexible polyimide substrates, matched to the 15–20 µm length of ZnO NWs. Optimized DEP conditions of 24 V<sub>pp</sub> at 1 MHz enabled deterministic NW alignment across the electrode gaps. The resulting flexible UV photodetectors exhibited a clear photoresponse at 365 nm, with a responsivity of 31 AW<sup>−1</sup> at 8 V bias and response and recovery times of 18 and 82 s, respectively. Through these proof of concept devices, this work demonstrates that high-resolution DIW-printed microelectrodes provide a scalable, resource-efficient, and accessible platform for DEP-based NW integration, opening a practical pathway toward low-cost flexible electronic devices.","PeriodicalId":13014,"journal":{"name":"IEEE Sensors Letters","volume":"10 8","pages":"3504004-3504004"},"PeriodicalIF":2.4,"publicationDate":"2026-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148627386","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
Dynamic Multigas Differentiation Using a Temperature-Modulated Dielectric-Excitation Gas Sensor 使用温度调制介电激励气体传感器的动态多气体鉴别
IF 2.4
IEEE Sensors Letters Pub Date : 2026-08-01 Epub Date: 2026-06-22 DOI: 10.1109/LSENS.2026.3706243
Shiyao Shan;Baokai Cheng;Garrett Sculthorpe;Janell Crowder;Radislav A. Potyrailo
{"title":"Dynamic Multigas Differentiation Using a Temperature-Modulated Dielectric-Excitation Gas Sensor","authors":"Shiyao Shan;Baokai Cheng;Garrett Sculthorpe;Janell Crowder;Radislav A. Potyrailo","doi":"10.1109/LSENS.2026.3706243","DOIUrl":"https://doi.org/10.1109/LSENS.2026.3706243","url":null,"abstract":"Existing legacy gas sensors are tiny and not cost-prohibitive, but their gas cross-sensitivity limits reliable detection of gases of interest in complex environments. Here, we report multigas differentiation using an individual semiconducting metal oxide (SMOX) gas sensor operated with dielectric excitation and temperature modulation. Dielectric excitation provides a frequency-dependent response, while temperature modulation introduces gas-specific transient signatures that further increase response dimensionality. We differentiate multiple gases under both step changes and dynamically randomized changes in gas concentration. These results provide a practical route for using conventional SMOX sensing elements in modern high-information-content gas sensors for emerging applications.","PeriodicalId":13014,"journal":{"name":"IEEE Sensors Letters","volume":"10 8","pages":"4502604-4502604"},"PeriodicalIF":2.4,"publicationDate":"2026-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148627573","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
Contact Events and Slip Onset Detection Based on a Piezoelectric Sensing System and Embedded Machine Learning 基于压电传感系统和嵌入式机器学习的接触事件和滑移检测
IF 2.4
IEEE Sensors Letters Pub Date : 2026-08-01 Epub Date: 2026-07-16 DOI: 10.1109/LSENS.2026.3714000
Razan Khalifeh;Mohamad Yaacoub;Christian Gianoglio;Maurizio Valle;Yahya Abbass
{"title":"Contact Events and Slip Onset Detection Based on a Piezoelectric Sensing System and Embedded Machine Learning","authors":"Razan Khalifeh;Mohamad Yaacoub;Christian Gianoglio;Maurizio Valle;Yahya Abbass","doi":"10.1109/LSENS.2026.3714000","DOIUrl":"https://doi.org/10.1109/LSENS.2026.3714000","url":null,"abstract":"The ability to perceive object slip using tactile sensors enables robots to maintain a stable grasp. Despite the utility of tactile information for many applications, piezoelectric tactile sensors have yet to be widely deployed in identifying slip and other events from the tactile data stream. In this letter, we present a learning-based method to detect slip onset and contact events using flexible piezoelectric sensors. Two approaches were implemented: First, the extraction of frequency domain features to train a multilayer perceptron; Second, developing a 1D-convolutional neural network (1D-CNN) using raw tactile signals. Furthermore, an analysis was conducted to evaluate the impact of temporal window size on the recognition performance and real-time feasibility. Results demonstrated that the optimal configuration was achieved using the 1D-CNN with a 25 ms temporal window while achieving a recognition accuracy of 95.5% and an end-to-end latency of 41 ms. These findings highlight that piezoelectric sensing technology, combined with data-driven learning, is suitable for implementing an autonomous control for robot manipulation.","PeriodicalId":13014,"journal":{"name":"IEEE Sensors Letters","volume":"10 8","pages":"5504804-5504804"},"PeriodicalIF":2.4,"publicationDate":"2026-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11611704","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148627577","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
Device-Free Human Identification Using Spatial Features Extracted From Multiple SISO Wi-Fi CSI 从多个SISO Wi-Fi CSI中提取空间特征的无设备人类识别
IF 2.4
IEEE Sensors Letters Pub Date : 2026-08-01 Epub Date: 2026-07-10 DOI: 10.1109/LSENS.2026.3712318
Kenta Watanabe;Daiki Nagao;Naoki Honma;Kentaro Murata;Takeshi Nakayama;Shoichi Iizuka;Ryosuke Otomura
{"title":"Device-Free Human Identification Using Spatial Features Extracted From Multiple SISO Wi-Fi CSI","authors":"Kenta Watanabe;Daiki Nagao;Naoki Honma;Kentaro Murata;Takeshi Nakayama;Shoichi Iizuka;Ryosuke Otomura","doi":"10.1109/LSENS.2026.3712318","DOIUrl":"https://doi.org/10.1109/LSENS.2026.3712318","url":null,"abstract":"In this letter, we propose a device-free human identification method using channel state information (CSI) from single-input single-output (SISO) Wi-Fi for low-cost Internet-of-Things environments. Whereas SISO Wi-Fi is inexpensive and widely available, sensing accuracy is hindered by phase errors from transmitter–receiver clock asynchrony, and existing time-domain methods degrade when physiological signal frequencies, such as respiration vary. To overcome these issues, we derive power responses from CSI to remove phase errors, extract micro-Doppler components using Fourier transform, and apply singular value decomposition to the integrated multiple SISO channels to isolate spatial features related to individual physique and respiration motion independent of frequency. Experiments show that the proposed method achieves an identification rate of up to 100% even under significant variations in subjects’ respiration rates after exercise, significantly outperforming conventional methods.","PeriodicalId":13014,"journal":{"name":"IEEE Sensors Letters","volume":"10 8","pages":"3504904-3504904"},"PeriodicalIF":2.4,"publicationDate":"2026-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148627581","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
Novel FBSE-EWT-Driven EEG Signal Analysis for Reliable Stroke and TBI Classification 新型fbse - ewt驱动的脑电信号分析可靠的脑卒中和脑外伤分类
IF 2.4
IEEE Sensors Letters Pub Date : 2026-08-01 Epub Date: 2026-06-17 DOI: 10.1109/LSENS.2026.3704492
Nutan Suple;Tapan Kumar Jain;Chandrashekhar Sakode;Shailesh Vitthalrao Bhalerao
{"title":"Novel FBSE-EWT-Driven EEG Signal Analysis for Reliable Stroke and TBI Classification","authors":"Nutan Suple;Tapan Kumar Jain;Chandrashekhar Sakode;Shailesh Vitthalrao Bhalerao","doi":"10.1109/LSENS.2026.3704492","DOIUrl":"https://doi.org/10.1109/LSENS.2026.3704492","url":null,"abstract":"Electroencephalography (EEG) is a significant tool in the diagnosis and monitoring of stroke and traumatic brain injury (TBI). Due to its nonlinear and nonstationary nature, EEG signal-based stroke and TBI analysis is complicated. Therefore, an advanced signal decomposition technique-based classification framework is essential for extracting significant features and improving detection accuracy. This letter presents a novel multiclass classification framework for decoding neurological disorders using the multichannel EEG sensor data. The proposed framework utilizes Fourier–Bessel series expansion-based empirical wavelet transform (EWT) to extract oscillatory patterns related to these neurological signals of stroke and TBI. To evaluate the proposed framework, we have developed two additional classification frameworks using empirical mode decomposition and EWT to enable a direct comparison. The proposed framework is evaluated using two performance metrics, time-frequency representation and classification accuracy, and it is also validated using receiver operating characteristic curves. This study presents the formulation of hand crafted features, including spectral entropy, energy of the Hilbert spectrum, mean of instantaneous amplitude, and variance of instantaneous amplitude. Experimentally, the proposed framework outperforms state-of-the-art methods and shows potential as a reliable preclinical tool for neurological disorder detection.","PeriodicalId":13014,"journal":{"name":"IEEE Sensors Letters","volume":"10 8","pages":"7003704-7003704"},"PeriodicalIF":2.4,"publicationDate":"2026-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148626159","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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