IEEE Sensors Letters最新文献_第7页

A Kinematic Parameter Calibration Method of a 6-Axis Industrial Robot Using an Eye-in-Hand 2-D Laser Profiler 基于手持式二维激光轮廓仪的六轴工业机器人运动参数标定方法

IF 2.2

IEEE Sensors Letters Pub Date : 2025-03-27 DOI: 10.1109/LSENS.2025.3574161

Jia-Xin Liu;Tao Chen;Yao-Yang Tsai;Pei-Chun Lin

{"title":"A Kinematic Parameter Calibration Method of a 6-Axis Industrial Robot Using an Eye-in-Hand 2-D Laser Profiler","authors":"Jia-Xin Liu;Tao Chen;Yao-Yang Tsai;Pei-Chun Lin","doi":"10.1109/LSENS.2025.3574161","DOIUrl":"https://doi.org/10.1109/LSENS.2025.3574161","url":null,"abstract":"This letter presents a novel position estimation method for a 2-D laser profiler (LPF) and its application to the offline kinematic parameter calibration of an industrial robot. Unlike traditional laser tracker systems, LPFs are more affordable, easier to configure, and can capture over 3000 data points in a single scan, which provides valuable characteristics for calibration without introducing new errors owing to motion and time effects. The method relies on a single scan of a custom-designed gauge, with profile features extracted using an edge detection algorithm that combines split-and-merge with linear regression. A gauge frame establishment approach using the LPF is also introduced. The feasibility of the method was validated through offline kinematic parameter calibration experiments on the IRB2600 industrial robot. Three methods were applied to optimize nonlinear error models of the kinematic parameters, including fmincons, particle swarm optimization (PSO), and genetic algorithms. The methodology was evaluated experimentally using a commercial industrial robot, and the results showed significant improvement in positioning accuracy with more than 90<inline-formula><tex-math>$%$</tex-math></inline-formula> error reduction by PSO and fmincons, demonstrating the method's effectiveness and applicability in high-precision tasks.","PeriodicalId":13014,"journal":{"name":"IEEE Sensors Letters","volume":"9 7","pages":"1-4"},"PeriodicalIF":2.2,"publicationDate":"2025-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144308235","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

Printed Silicon Nanoribbon-Based Temperature Sensors on Flexible Substrates 柔性基板上印刷硅纳米带温度传感器

IF 2.2

IEEE Sensors Letters Pub Date : 2025-03-26 DOI: 10.1109/LSENS.2025.3573901

Ayoub Zumeit;Abhishek S. Dahiya;Ravinder Dahiya

{"title":"Printed Silicon Nanoribbon-Based Temperature Sensors on Flexible Substrates","authors":"Ayoub Zumeit;Abhishek S. Dahiya;Ravinder Dahiya","doi":"10.1109/LSENS.2025.3573901","DOIUrl":"https://doi.org/10.1109/LSENS.2025.3573901","url":null,"abstract":"Sensor-laden electronic skins (e-skins) are needed for robots and wearable systems to feel external stimuli such as temperature and pressure. Temperature sensing is particularly of interest to allow timely action by robots against painful hot or very cold conditions. Herein, we present doped silicon nanoribbons (Si NRs)-based miniaturized (≈315 µm<sup>2</sup>) and highly sensitive temperature sensors printed onto flexible substrates. The arrays of temperature sensors based on p–i–n junctions formed along the length of the doped Si NRs are obtained on flexible substrates using a custom-built direct roll printing method combined with a few conventional microfabrication process steps. In the constant current mode, the sensors exhibit a high thermal sensitivity of −1 mV ± 0.3 °C<sup>−1</sup> (extracted from voltages at specific currents) over the tested temperature range of 5 °C and 75 °C, along with excellent repeatability with no hysteresis over multiple cycles. Furthermore, the printed temperature sensor demonstrates ∼9.4% increase in current per °C, highlighting its excellent response to temperature variations. These results show the promise that the presented temperature sensors hold for wider application of e-skin in areas, such as health monitoring, robotics, digital agriculture, etc.","PeriodicalId":13014,"journal":{"name":"IEEE Sensors Letters","volume":"9 6","pages":"1-4"},"PeriodicalIF":2.2,"publicationDate":"2025-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144243937","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

Reconfigurable Coding Design for Transmissive RIS-Aided DOA Estimation by Single Receiving Sensor 单接收传感器发射ris辅助DOA估计的可重构编码设计

IF 2.2

IEEE Sensors Letters Pub Date : 2025-03-26 DOI: 10.1109/LSENS.2025.3573700

Changcheng Hu;Ruoyu Zhang;Jingqi Wang;Boyu Sima;Wei Kang

引用次数: 0

Signal Integrity Analysis of Biodegradable Stretchable Interconnect for Wearable Application 可穿戴生物可降解可拉伸互连的信号完整性分析

IF 2.2

IEEE Sensors Letters Pub Date : 2025-03-26 DOI: 10.1109/LSENS.2025.3573885

Gulafsha Bhatti;Devkaran Maru;Kamlesh Patle;Kinnaree Shah;Vinay Palaparthy;Yash Agrawal

{"title":"Signal Integrity Analysis of Biodegradable Stretchable Interconnect for Wearable Application","authors":"Gulafsha Bhatti;Devkaran Maru;Kamlesh Patle;Kinnaree Shah;Vinay Palaparthy;Yash Agrawal","doi":"10.1109/LSENS.2025.3573885","DOIUrl":"https://doi.org/10.1109/LSENS.2025.3573885","url":null,"abstract":"The advent of conformable electronic devices has led to immense development in emerging sectors, such as biosensors, flexible electronics, and wearable applications. Fabrication of serpentine interconnect is of supreme importance for the feasibility of the flexible electronics system. In this work, biodegradable textile is considered as a flexible or stretchable substrate. The use of textiles in electronics has emerged as a compelling solution for wearable electronics applications. Due to its robust characteristics, including multiple stretching capabilities and frictionless properties, it serves as an excellent substrate. The stretchable interconnect is another essential entity in the development of wearable devices. In the current work, this is fabricated over biodegradable textile using serpentine structure and graphene as conductive material. In addition to fabrication, the driver-interconnect-load (DIL) model of the stretchable interconnect is novelly incorporated to assess its signal integrity. In the domain of reconfigurable systems, the DIL model plays a crucial role in achieving the reliability of electronic system design. The interconnect design is vital to mitigate timing issues and enhance system performance. This letter explores the optimization and significance of stretchable interconnects within the DIL framework.","PeriodicalId":13014,"journal":{"name":"IEEE Sensors Letters","volume":"9 7","pages":"1-4"},"PeriodicalIF":2.2,"publicationDate":"2025-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144243728","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

Bias Compensation for Kernel Least-Mean-Square Algorithms 核最小均方算法的偏差补偿

IF 2.2

IEEE Sensors Letters Pub Date : 2025-03-24 DOI: 10.1109/LSENS.2025.3553594

Ying-Ren Chien;Jin-Ling Liu;En-Ting Lin;Guobing Qian

引用次数: 0

A High-Performance Capacitive Force Sensor for High-Temperature Applications 用于高温应用的高性能电容式力传感器

IF 2.2

IEEE Sensors Letters Pub Date : 2025-03-23 DOI: 10.1109/LSENS.2025.3573146

Muhannad Ghanam;Peter Woias;Frank Goldschmidtboeing

引用次数: 0

Real-Time Hand Gesture Classification Using Infrared Sensor Arrays-Based Wearable Bracelet and Efficient 1-D Convolutional Neural Network 基于红外传感器阵列可穿戴手环和高效一维卷积神经网络的实时手势分类

IF 2.2

IEEE Sensors Letters Pub Date : 2025-03-22 DOI: 10.1109/LSENS.2025.3572736

Agastasya Dahiya;Rohan Katti;Luigi G. Occhipinti

{"title":"Real-Time Hand Gesture Classification Using Infrared Sensor Arrays-Based Wearable Bracelet and Efficient 1-D Convolutional Neural Network","authors":"Agastasya Dahiya;Rohan Katti;Luigi G. Occhipinti","doi":"10.1109/LSENS.2025.3572736","DOIUrl":"https://doi.org/10.1109/LSENS.2025.3572736","url":null,"abstract":"Hand gesture recognition is pivotal for intuitive human–machine interaction, particularly in healthcare and assistive technologies, where traditional interfaces (e.g., keyboards) are impractical. Existing modalities, such as electromyography and inertial sensors (inertial measurement units), struggle with noise sensitivity, motion dependence, or limited resolution for fine gestures. This work proposes infrared sensing as a robust alternative, leveraging reflected light patterns to capture both macrogestures and microgestures without relying on muscle activity or pronounced arm movements. We conducted experiments and compared different architectures to ensure the correct classification of hand gestures with the lowest possible latency, when targeting real-time processing. Experimental results demonstrate that shallow two-layer 1-D convolutional neural networks (CNNs) achieve rapid inference (3 ms) and minimal memory (56 kB) but suffer from low accuracy (81.45%), while deeper 12-layer CNNs attain 98.29% accuracy at prohibitive cost (176 ms latency, 17.4 MB memory). A six-layer 1-D CNN strikes an optimal balance, delivering 95.97% accuracy with moderate resources (56 ms latency, 640 kB memory), outperforming similarly accurate long short-term memory (94.88%, 136 ms), and recurrent neural network (96.59%, 102 ms) models. Confusion matrix analysis confirms consistent performance across seven gestures, including nuanced distinctions, such as thumb–index versus thumb–pinky pinches. By optimizing architectural depth and sensor integration, this work enables real-time operation on microcontrollers, such as the STM32F7, advancing applications in touchless medical interfaces and assistive devices for users with motor impairments.","PeriodicalId":13014,"journal":{"name":"IEEE Sensors Letters","volume":"9 6","pages":"1-4"},"PeriodicalIF":2.2,"publicationDate":"2025-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144196725","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

Flexible Electrolyte-Gated Field-Effect Transistors for Gallic Acid Detection 用于没食子酸检测的柔性电解门控场效应晶体管

IF 2.2

IEEE Sensors Letters Pub Date : 2025-03-21 DOI: 10.1109/LSENS.2025.3572136

Giulia Elli;Shamim Torkian;Giuseppe Ciccone;Ahmed Rasheed;Paolo Lugli;Luisa Petti;Pietro Ibba

{"title":"Flexible Electrolyte-Gated Field-Effect Transistors for Gallic Acid Detection","authors":"Giulia Elli;Shamim Torkian;Giuseppe Ciccone;Ahmed Rasheed;Paolo Lugli;Luisa Petti;Pietro Ibba","doi":"10.1109/LSENS.2025.3572136","DOIUrl":"https://doi.org/10.1109/LSENS.2025.3572136","url":null,"abstract":"Polyphenols, such as gallic acid, are bioactive compounds widely found in various fruits, vegetables, and beverages. Their detection in food matrices is crucial due to their potential health benefits, and role in assessing food quality. In this work, we investigated the use of an electrolyte-gated field-effect-transistor with carbon nanotubes as semiconducting channel (EG-CNTFET), with a horseradish peroxidase functionalized surface, as biosensor to detect gallic acid. Cyclic voltammetry and electrochemical impedance spectroscopy (EIS) were used to prove the immobilization of horseradish peroxidase on the gate electrode. The fitting of the EIS data revealed an increase in charge transfer resistance and a decrease in the constant phase element with gallic acid 0.1 mM [+11.79% (<inline-formula><tex-math>$pm$</tex-math></inline-formula>2.32) and −10.32 (<inline-formula><tex-math>$pm$</tex-math></inline-formula>5.27)], demonstrating an interaction between analyte and enzyme. The functionalized EG-CNTFETs, tested with increasing concentration of gallic acid, presented a decrease in normalized <inline-formula><tex-math>$I_{DS}$</tex-math></inline-formula> with increasing gallic acid concentration. With this specific test, a sensitivity of −38.20 <inline-formula><tex-math>$%/text{mM}$</tex-math></inline-formula>, was calculated from the linear fit between 0.1 and 1 mM. A limit of detection of 0.10 mM was achieved. This study lays the foundation for applications of EG-CNTFET-based biosensors in gallic acid (and possibly other polyphenols) detection.","PeriodicalId":13014,"journal":{"name":"IEEE Sensors Letters","volume":"9 6","pages":"1-4"},"PeriodicalIF":2.2,"publicationDate":"2025-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144196805","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

Ferroelectret-Based Insole for Vertical Ground Reaction Force Estimation Using a Convolutional Neural Network 基于铁电极体的鞋垫垂直地面反作用力卷积神经网络估计

IF 2.2

IEEE Sensors Letters Pub Date : 2025-03-21 DOI: 10.1109/LSENS.2025.3553491

Omid Mohseni;Janick Betz;Bastian Latsch;Julian Seiler;André Seyfarth;Mario Kupnik

{"title":"Ferroelectret-Based Insole for Vertical Ground Reaction Force Estimation Using a Convolutional Neural Network","authors":"Omid Mohseni;Janick Betz;Bastian Latsch;Julian Seiler;André Seyfarth;Mario Kupnik","doi":"10.1109/LSENS.2025.3553491","DOIUrl":"https://doi.org/10.1109/LSENS.2025.3553491","url":null,"abstract":"Precise and portable ground reaction force (GRF) measurement is critical for advancing biomechanical gait analysis and enabling more effective control of robots and assistive devices. This study investigates vertical GRF estimation during walking using a soft, lightweight, and cost-effective 3D-printed ferroelectret insole. The insole design incorporates four monolithically 3D-printed piezoelectric sensors positioned under key foot contact areas, which generate nonlinear voltage in response to applied forces. A 1-D convolutional neural network (CNN), featuring two convolutional and two fully connected layers, was trained to predict vertical GRF across five different walking speeds (50–150% of normal walking speed). The CNN was validated using K-fold cross-validation, enhancing model generalization. Results showed an average root-mean-squared error of 9.24% and <inline-formula><tex-math>$R^{2}$</tex-math></inline-formula> values exceeding 0.99 across different speeds, demonstrating the potential of 3D-printed ferroelectret sensors for portable GRF measurement in gait analysis and robotics applications.","PeriodicalId":13014,"journal":{"name":"IEEE Sensors Letters","volume":"9 5","pages":"1-4"},"PeriodicalIF":2.2,"publicationDate":"2025-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143830544","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

Enhancing Surgical Laparoscopic Video Quality Assessment With Integrated Feature Fusion Accounting for Sensor and Transmission Distortions 基于传感器和传输失真综合特征融合的腹腔镜手术视频质量评估

IF 2.2

IEEE Sensors Letters Pub Date : 2025-03-20 DOI: 10.1109/LSENS.2025.3553292

Ajay Kumar Reddy Poreddy;Priyanka Kokil;Balasubramanyam Appina

{"title":"Enhancing Surgical Laparoscopic Video Quality Assessment With Integrated Feature Fusion Accounting for Sensor and Transmission Distortions","authors":"Ajay Kumar Reddy Poreddy;Priyanka Kokil;Balasubramanyam Appina","doi":"10.1109/LSENS.2025.3553292","DOIUrl":"https://doi.org/10.1109/LSENS.2025.3553292","url":null,"abstract":"In this letter, an opinion-aware quality assessment (QA) model for surgical laparoscopic videos (LVs) considering sensor and transmission distortions is proposed based on statistical disparities between luminance and color components of the opponent color space (OCS). First, the luminance variations among the frames of distorted LVs are computed based on the energy of the Gabor subbands and weighted histogram features of the local binary pattern map. Second, the color degradations of each frame of LV are estimated based on the chromatic components of the OCS using moment statistics and the shape and spread parameters of the asymmetric generalized Gaussian distribution. These features are computed across two scales, concatenated, and pooled to obtain the overall quality representative feature set of the LVs. Finally, an AdaBoost back propagation neural network is utilized to map the extracted feature set to quality scores using labels as surgeons opinion scores. Extensive experiments demarcate that the proposed QA model for surgical LVs outperforms the existing video QA models with an overall linear correlation coefficient of 0.9800 and Spearman rank order correlation of 0.9247 on the LVQA dataset, respectively.","PeriodicalId":13014,"journal":{"name":"IEEE Sensors Letters","volume":"9 5","pages":"1-4"},"PeriodicalIF":2.2,"publicationDate":"2025-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143865357","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