IEEE Sensors Letters最新文献_第10页

An Integrated Multimodal Data Acquisition System for Ultrasound Imaging 超声成像集成多模态数据采集系统

IF 2.2

IEEE Sensors Letters Pub Date : 2025-12-30 DOI: 10.1109/LSENS.2025.3649236

Gajendra Singh;Deepak Mishra;Jayant Kumar Mohanta;Rengarajan Rajagopal;Rahul Choudhary;Alok Kumar Sharma;Pushpinder Singh Khera

引用次数: 0

2025 Index IEEE Sensors Letters 2025索引IEEE传感器通讯

IF 2.2

IEEE Sensors Letters Pub Date : 2025-12-29 DOI: 10.1109/LSENS.2025.3648851

引用次数: 0

Automated Multimodal Sensing for Cognitive Load Assessment Using Cross-Modality-Driven Attention Fusion 基于跨模态注意力融合的认知负荷评估自动化多模态感知

IF 2.2

IEEE Sensors Letters Pub Date : 2025-12-26 DOI: 10.1109/LSENS.2025.3648946

Swarubini P J;Ryunosuke Kirita;Tomohiko Igasaki;Nagarajan Ganapathy

{"title":"Automated Multimodal Sensing for Cognitive Load Assessment Using Cross-Modality-Driven Attention Fusion","authors":"Swarubini P J;Ryunosuke Kirita;Tomohiko Igasaki;Nagarajan Ganapathy","doi":"10.1109/LSENS.2025.3648946","DOIUrl":"https://doi.org/10.1109/LSENS.2025.3648946","url":null,"abstract":"Cognitive load (CL) reflects the mental effort required during a task. Traditional CL assessment methods are intersubject and intrasubject variability and lack continuous monitoring. Recently, contactless biosignal sensing has emerged as an alternative for unobtrusive CL assessment. In this study, we propose a contactless CL assessment framework using imaging photoplethysmography (iPPG)-gaze signals and cross-modality-driven fusion to classify varied CL states. For this, facial videos are acquired from 23 healthy subjects in a semicontrolled environment. iPPG and gaze signals were extracted using the local group invariance method and MediaPipe library, respectively. The signals were segmented and applied to parallel 1-D convolutional neural network, and were fused using cross-modal attention. The proposed approach is able to discriminate between varied CL states. Experimental results show that the proposed fusion model achieved an average classification accuracy (ACC) of 67.96% and F-measure (F-m) of 71.69% outperforming single-modality models. The iPPG signals demonstrated a better mean ACC (55.66%) and F-m (60.71%) among the individual models. While electroencephalography and multimodal sensors report close to 60%–70% accuracy, our contactless method attains comparable performance using solely smartphone video. Thus, the proposed framework could be extended for real-time CL monitoring.","PeriodicalId":13014,"journal":{"name":"IEEE Sensors Letters","volume":"10 2","pages":"1-4"},"PeriodicalIF":2.2,"publicationDate":"2025-12-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146082034","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

Sensor-Driven Entropy for Energy-Efficient Security in Optical Camera Communication Systems 传感器驱动熵在光学摄像机通信系统中的节能安全

IF 2.2

IEEE Sensors Letters Pub Date : 2025-12-24 DOI: 10.1109/LSENS.2025.3648032

Puneet Pandey;Sandeep Joshi

{"title":"Sensor-Driven Entropy for Energy-Efficient Security in Optical Camera Communication Systems","authors":"Puneet Pandey;Sandeep Joshi","doi":"10.1109/LSENS.2025.3648032","DOIUrl":"https://doi.org/10.1109/LSENS.2025.3648032","url":null,"abstract":"Optical camera communication (OCC) enables low-cost optical wireless links using complementary metal-oxide-semiconductor image sensors but is vulnerable to passive eavesdropping. This letter proposes a lightweight physical-layer security framework that leverages sensor nonidealities—specifically bad-pixel maps and rolling-shutter exposure timing—to derive device-specific entropy sources. Unlike conventional pseudorandom number generators that rely on software-based random seeding, these hardware-bound entropy sources are nonreplicable across devices and thus significantly harder for an attacker to predict or replay. A logistic chaotic map seeded with these features generates binary key streams that pass standard randomness tests, while compressed sensing provides sparse-domain encoding to lower computational and transmission overhead. Secure data transmission is realized via <sc>xor</small>-based stream ciphering with reconstructed keys. Simulations indicate a lower bit-error rate (BER) for legitimate receivers while mismatched keys yield eavesdropper BER <inline-formula><tex-math>$approx 0.5$</tex-math></inline-formula>. The estimated energy budget is 5.3 mW on a Cortex-M4-class platform, aligning with reported sub-mW visual sensor nodes and highlighting the suitability of the approach for Internet of Things and vehicular OCC systems.","PeriodicalId":13014,"journal":{"name":"IEEE Sensors Letters","volume":"10 2","pages":"1-4"},"PeriodicalIF":2.2,"publicationDate":"2025-12-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146082136","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

Development of Layered Origami Smart Cushioning Device With Wireless Self-Inductive Sensors 基于无线自感传感器的分层折纸智能缓冲装置的研制

IF 2.2

IEEE Sensors Letters Pub Date : 2025-12-24 DOI: 10.1109/LSENS.2025.3647532

Satoshi Motoyama;Hiroaki Minamide;Takuma Harada;Hiroki Shigemune

{"title":"Development of Layered Origami Smart Cushioning Device With Wireless Self-Inductive Sensors","authors":"Satoshi Motoyama;Hiroaki Minamide;Takuma Harada;Hiroki Shigemune","doi":"10.1109/LSENS.2025.3647532","DOIUrl":"https://doi.org/10.1109/LSENS.2025.3647532","url":null,"abstract":"In this letter, we propose a smart cushioning device (SCD) that integrates a self-folded corrugated structure with a passive wireless sensing mechanism. Using inkjet printing–based self-folding, highly reproducible corrugated geometries were formed from planar paper sheets in a simple and scalable manner. By increasing the number of layers and paper thickness, the SCD achieved a maximum load capacity of 39.0 N, exhibiting a 1014% improvement in load-bearing capability compared to a single-layer configuration. A planar spiral coil integrated within the structure enabled <italic>LC</i> resonance wireless sensing of deformation, showing up to 51.5% inductance variation and corresponding resonance frequency shifts. The response remained stable after 1000 compression cycles, confirming high mechanical durability. In a load-position identification test, the device exhibited a frequency shift of Δf/f<sub>0</sub> = 0.10, demonstrating high spatial sensitivity to localized deformation. Owing to its modular design, the proposed SCD allows flexible adjustment of sensor number and placement, offering a promising approach for real-time pressure-distribution sensing in evacuation shelters, nursing care, and smart furniture applications.","PeriodicalId":13014,"journal":{"name":"IEEE Sensors Letters","volume":"10 2","pages":"1-4"},"PeriodicalIF":2.2,"publicationDate":"2025-12-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11314661","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145929523","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

Linear Multiregime Thermistor Digitizer Featuring Lead-Wire and Self-Heating Compensation 具有引线和自热补偿的线性多态热敏电阻数字化仪

IF 2.2

IEEE Sensors Letters Pub Date : 2025-12-24 DOI: 10.1109/LSENS.2025.3647785

Sajeev Ramachandran;Anoop Chandrika Sreekantan;Roy Thankachan

引用次数: 0

Temperature-Modulated Short-Term and Long-Term Memory in Solution-Processed ZnO Schottky Synapses 溶液处理ZnO肖特基突触中温度调制的短期和长期记忆

IF 2.2

IEEE Sensors Letters Pub Date : 2025-12-23 DOI: 10.1109/LSENS.2025.3647319

Monu Kumar;Varun Goel;Yogesh Kumar

引用次数: 0

Benchmarking AI-Based Monocular Depth Estimators in Terms of Their Metrological Potential Following 3-D Sensor Guideline VDI/VDE 2634 根据三维传感器指南VDI/VDE 2634的计量潜力对基于人工智能的单目深度估计器进行基准测试

IF 2.2

IEEE Sensors Letters Pub Date : 2025-12-23 DOI: 10.1109/LSENS.2025.3647147

Roland Ramm;Yang Li;Alexander Oberdörster;Stefan Heist;Peter Kühmstedt;Gunther Notni

{"title":"Benchmarking AI-Based Monocular Depth Estimators in Terms of Their Metrological Potential Following 3-D Sensor Guideline VDI/VDE 2634","authors":"Roland Ramm;Yang Li;Alexander Oberdörster;Stefan Heist;Peter Kühmstedt;Gunther Notni","doi":"10.1109/LSENS.2025.3647147","DOIUrl":"https://doi.org/10.1109/LSENS.2025.3647147","url":null,"abstract":"Monocular depth estimation is a computer vision task in which a neural network is trained to estimate depth maps from given images. Recently, some estimators have reached remarkable results with potential to replace conventional 3-D sensors in certain applications. To investigate how they compare in terms of metrological performance, we applied the VDI/VDE 2634 evaluation guideline from the “Verein Deutscher Ingenieure e.V.” This guideline is used to specify the probing and length measurement errors of a 3-D sensor by capturing data from a calibrated ball bar specimen in different orientations within a predefined measurement volume. We evaluated three recent monocular depth estimators Depth Anything V2, Depth Pro, and UniDepthV2 in different settings, which achieved probing and length measurement errors below 10 % under optimal conditions. However, under nonoptimal conditions, each of the three depth estimators showed significant errors. Adding everyday objects into the image scenes improved the overall results. Our image collection, the MD-VDI2634 dataset, enables the investigation and comparison of depth estimators regarding their metrological performance.","PeriodicalId":13014,"journal":{"name":"IEEE Sensors Letters","volume":"10 2","pages":"1-4"},"PeriodicalIF":2.2,"publicationDate":"2025-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11313486","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145982343","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

Aptamer-Coated Impedimetric Sensors for Sodium Lactate Detection 用于乳酸钠检测的配体包被阻抗传感器

IF 2.2

IEEE Sensors Letters Pub Date : 2025-12-23 DOI: 10.1109/LSENS.2025.3646977

Junaid Ahmed Qureshi;Massood Tabib-Azar

引用次数: 0

Semi-Supervised Multi-Loss TCN and Transfer Learning for Earthquake Detection in Distributed Fiber-Optic Acoustic Sensing Systems 分布式光纤声传感系统中地震检测的半监督多损失TCN和迁移学习

IF 2.2

IEEE Sensors Letters Pub Date : 2025-12-22 DOI: 10.1109/LSENS.2025.3646771

Deepika Sasi;Sundaresan Sabapathy;Thomas Joseph

引用次数: 0