IEEE Sensors Letters最新文献_第5页

A High-Fidelity, Low-Cost Visuotactile Sensor for Rolling Tactile Perception 用于滚动触觉感知的高保真、低成本视觉触觉传感器

IF 2.2

IEEE Sensors Letters Pub Date : 2024-10-09 DOI: 10.1109/LSENS.2024.3477913

Lintao Xie;Guitao Yu;Tianhong Tong;Yang He;Dongtai Liang

{"title":"A High-Fidelity, Low-Cost Visuotactile Sensor for Rolling Tactile Perception","authors":"Lintao Xie;Guitao Yu;Tianhong Tong;Yang He;Dongtai Liang","doi":"10.1109/LSENS.2024.3477913","DOIUrl":"https://doi.org/10.1109/LSENS.2024.3477913","url":null,"abstract":"In this letter, a low-cost but high-fidelity rolling tactile system is proposed for distinguishing patterns on curved surfaces, including an improved vision-based tactile sensor (VBTS) and a novel lightweight processing framework. The proposed VBTS contains a modular ring-shaped illumination configuration and an improved sensing elastomer, which is easy to fabricate without complex processing and costs only 16.95 USD in total. To achieve real-time data processing of rolling tactile images, inspired by event-based cameras, an efficient processing framework is introduced based on computer graphics, which can integrate sparse rolling tactile images into complete high-fidelity images for the final classification. To evaluate the effectiveness of the proposed system, a classification model is trained using a dataset generated by 13 cylinders with similar textures, where the identification accuracy of validation is up to 98.3%. Then, we test each cylinder sample for three rolling tactile perceptions and achieve 100% identification accuracy within 1.2 s on average, indicating a promising prospect of the proposed perception system for real-time application.","PeriodicalId":13014,"journal":{"name":"IEEE Sensors Letters","volume":"8 11","pages":"1-4"},"PeriodicalIF":2.2,"publicationDate":"2024-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142579206","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

An Efficient and Scalable Internet of Things Framework for Smart Farming 高效、可扩展的智能农业物联网框架

IF 2.2

IEEE Sensors Letters Pub Date : 2024-10-09 DOI: 10.1109/LSENS.2024.3476940

Imad Jawhar;Samar Sindian;Sara Shreif;Mahmoud Ezzdine;Bilal Hammoud

引用次数: 0

A Separable Spatial–Temporal Graph Learning Approach for Skeleton-Based Action Recognition 基于骨架的动作识别的可分离时空图学习方法

IF 2.2

IEEE Sensors Letters Pub Date : 2024-10-07 DOI: 10.1109/LSENS.2024.3475515

Hui Zheng;Ye-Sheng Zhao;Bo Zhang;Guo-Qiang Shang

引用次数: 0

Slosh Measuring Sensor System for Liquid-Carrying Robots 用于液体输送机器人的湍流测量传感器系统

IF 2.2

IEEE Sensors Letters Pub Date : 2024-10-02 DOI: 10.1109/LSENS.2024.3473688

Luke J. Weaver;S. M. Bhagya P. Samarakoon;M. A. Viraj J. Muthugala;Mohan Rajesh Elara;Zaki S. Saldi

{"title":"Slosh Measuring Sensor System for Liquid-Carrying Robots","authors":"Luke J. Weaver;S. M. Bhagya P. Samarakoon;M. A. Viraj J. Muthugala;Mohan Rajesh Elara;Zaki S. Saldi","doi":"10.1109/LSENS.2024.3473688","DOIUrl":"https://doi.org/10.1109/LSENS.2024.3473688","url":null,"abstract":"Liquid-carrying robots require slosh suppression methods to improve their performance. To design these systems requires effective slosh measurement. State-of-the-Art slosh estimation methods have limitations, which include solely handling unidirectional motion or relying on theoretical models. This letter proposes a novel sensor array for measuring sloshing in liquid-carrying mobile robots. The proposed system offers two key contributions: first, it enables comprehensive measurement and visualization of sloshing during omnidirectional movements, and second, it provides a compact and seamless integration into mobile robots, enabling them to mitigate the adverse effects of sloshing. The sensor system has been developed using 14 time-of-flight range sensors. The range sensors are connected to an Arduino Mega through I\u0000<inline-formula><tex-math>$^{2}$</tex-math></inline-formula>\u0000 C communication. A 3-D visualization method has also been developed to visualize the sloshing. The sensor array was integrated into a mobile robot for validation. Utilizing the 3-D visualization method, the sensor system can reconstruct the liquid surface with a sampling rate of 17.8 Hz. The experimental results confirm that the proposed sensor system effectively measures sloshing during omnidirectional movement of the robot.","PeriodicalId":13014,"journal":{"name":"IEEE Sensors Letters","volume":"8 11","pages":"1-4"},"PeriodicalIF":2.2,"publicationDate":"2024-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142518063","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 Portable and Flexible On-Road Sensing System for Traffic Monitoring 用于交通监控的便携式灵活路面传感系统

IF 2.2

IEEE Sensors Letters Pub Date : 2024-10-02 DOI: 10.1109/LSENS.2024.3473306

Naveen Kumar Gajingam;Sourav Karmakar;Aftab M. Hussain

引用次数: 0

Machine Learning-Based Low-Cost Colorimetric Sensor for pH and Free-Chlorine Measurement 基于机器学习的低成本比色传感器用于 pH 值和游离氯测量

IF 2.2

IEEE Sensors Letters Pub Date : 2024-10-02 DOI: 10.1109/LSENS.2024.3473530

Chetanya Goyal;Shreya Malkurthi;Kirthi Vignan Reddy Yellakonda;Aftab M. Hussain

引用次数: 0

Advancing General Sensor Data Synthesis by Integrating LLMs and Domain-Specific Generative Models 通过整合 LLM 和特定领域生成模型推进通用传感器数据合成

IF 2.2

IEEE Sensors Letters Pub Date : 2024-09-30 DOI: 10.1109/LSENS.2024.3470748

Xiaomao Zhou;Qingmin Jia;Yujiao Hu

引用次数: 0

$mu$WSense: A Self-Sustainable Microwave-Powered Battery-Less Wireless Sensor Node for Temperature and Humidity Monitoring $mu$WSense：用于温湿度监测的可自我维持的微波供电无电池无线传感器节点

IF 2.2

IEEE Sensors Letters Pub Date : 2024-09-25 DOI: 10.1109/LSENS.2024.3468808

Vikas Kumar Malav;Ashwani Sharma

{"title":"$mu$WSense: A Self-Sustainable Microwave-Powered Battery-Less Wireless Sensor Node for Temperature and Humidity Monitoring","authors":"Vikas Kumar Malav;Ashwani Sharma","doi":"10.1109/LSENS.2024.3468808","DOIUrl":"https://doi.org/10.1109/LSENS.2024.3468808","url":null,"abstract":"To realize a green Internet of Things (IoT) sensor network, batteryless wireless sensor nodes (WSNs) are required. This self-sustainability is achieved via energy harvesting from conventional renewable sources, such as solar and wind, which rely on the weather and are highly expensive. Alternatively, the microwave-based wireless power transfer technique is demonstrated previously, however, only for sensing operations without including the IoT. In this letter, a \u0000<inline-formula><tex-math>$mu$</tex-math></inline-formula>\u0000Wave-powered WSN (\u0000<inline-formula><tex-math>$mu$</tex-math></inline-formula>\u0000Wsense) hardware is demonstrated to realize true batteryless IoT sensing applications. The \u0000<inline-formula><tex-math>$mu$</tex-math></inline-formula>\u0000Wsense consists of a rectenna array (\u0000<inline-formula><tex-math>$mu$</tex-math></inline-formula>\u0000wave receiver), power management unit, and BLE module. The \u0000<inline-formula><tex-math>$mu$</tex-math></inline-formula>\u0000 wave receiver is designed at 5.2 GHz to power \u0000<inline-formula><tex-math>$mu$</tex-math></inline-formula>\u0000Wsense at a maximum measured transfer range of 2 m with a maximum real-time sensing interval of 75 s. The minimum harvested power \u0000<inline-formula><tex-math>$-16.59$</tex-math></inline-formula>\u0000 dBm is sufficient to operate the \u0000<inline-formula><tex-math>$mu$</tex-math></inline-formula>\u0000Wsense.","PeriodicalId":13014,"journal":{"name":"IEEE Sensors Letters","volume":"8 11","pages":"1-4"},"PeriodicalIF":2.2,"publicationDate":"2024-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142438516","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

Multiclass Object Classification Using Ultra-Low Resolution Time-of-Flight Sensors 利用超低分辨率飞行时间传感器进行多类物体分类

IF 2.2

IEEE Sensors Letters Pub Date : 2024-09-24 DOI: 10.1109/LSENS.2024.3467165

Andrea Fasolino;Paola Vitolo;Rosalba Liguori;Luigi Di Benedetto;Alfredo Rubino;Danilo Pau;Gian Domenico Licciardo

{"title":"Multiclass Object Classification Using Ultra-Low Resolution Time-of-Flight Sensors","authors":"Andrea Fasolino;Paola Vitolo;Rosalba Liguori;Luigi Di Benedetto;Alfredo Rubino;Danilo Pau;Gian Domenico Licciardo","doi":"10.1109/LSENS.2024.3467165","DOIUrl":"https://doi.org/10.1109/LSENS.2024.3467165","url":null,"abstract":"Time-of-Flight (ToF) sensors are generally used in combination with red–blue–green sensors in image processing for adding the 3-D to 2-D scenes. Because of their low lateral resolution and contrast, they are scarcely used in object detection or classification. In this work, we demonstrate that ultra-low resolution (URL) ToF sensors with 8×8 pixels can be successfully used as stand-alone sensors for multiclass object detection even if combined with machine learning (ML) models, which can be implemented in a very compact and low-power custom circuit. Specifically, addressing an STMicroelectronics VL53L8CX 8×8 pixel ToF sensor, the designed ToF+ML system is capable to classify up to 10 classes with an overall mean accuracy of 90.21%. The resulting hardware architecture, prototyped on an AMD Xilinx Artix-7 field programmable gate array (FPGA), achieves an energy per inference consumption of 65.6 nJ and a power consumption of 1.095 \u0000<inline-formula><tex-math>$mu text{W}$</tex-math></inline-formula>\u0000 at the maximum output data rate of the sensor. These values are lower than the typical energy and power consumption of the sensor, enabling real-time postprocessing of depth images with significantly better performance than the state-of-the-art in the literature.","PeriodicalId":13014,"journal":{"name":"IEEE Sensors Letters","volume":"8 10","pages":"1-4"},"PeriodicalIF":2.2,"publicationDate":"2024-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10689573","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142431892","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

Physical Sensor Driven Approach for Optimizing Positive Airway Pressure Therapy 优化气道正压疗法的物理传感器驱动方法

IF 2.2

IEEE Sensors Letters Pub Date : 2024-09-20 DOI: 10.1109/LSENS.2024.3464673

Delpha J;Priyanka Kokil;Subramaniyan S;Jayanthi T

引用次数: 0