IEEE Sensors Letters最新文献_第9页

EEG-BBNet: A Hybrid Framework for Brain Biometric Using Graph Connectivity EEG-BBNet：一个使用图连接的脑生物识别混合框架

IF 2.2

IEEE Sensors Letters Pub Date : 2024-12-26 DOI: 10.1109/LSENS.2024.3522981

Payongkit Lakhan;Nannapas Banluesombatkul;Natchaya Sricom;Phattarapong Sawangjai;Soravitt Sangnark;Tohru Yagi;Theerawit Wilaiprasitporn;Wanumaidah Saengmolee;Tulaya Limpiti

{"title":"EEG-BBNet: A Hybrid Framework for Brain Biometric Using Graph Connectivity","authors":"Payongkit Lakhan;Nannapas Banluesombatkul;Natchaya Sricom;Phattarapong Sawangjai;Soravitt Sangnark;Tohru Yagi;Theerawit Wilaiprasitporn;Wanumaidah Saengmolee;Tulaya Limpiti","doi":"10.1109/LSENS.2024.3522981","DOIUrl":"https://doi.org/10.1109/LSENS.2024.3522981","url":null,"abstract":"Most EEG-based biometrics rely on either convolutional neural networks (CNNs) or graph convolutional neural networks (GCNNs) for personal authentication, potentially overlooking the limitations of each approach. To address this, we propose EEG-BBNet, a hybrid network that combines CNNs and GCNNs. EEG-BBNet leverages CNN's capability for automatic feature extraction and the GCNN's ability to learn connectivity patterns between EEG electrodes through graph representation. We evaluate its performance against solely CNN-based and graph-based models across three brain–computer interface tasks, focusing on daily motor and sensory activities. The results show that while EEG-BBNet with Rho index functional connectivity metric outperforms graph-based models, it initially lags behind CNN-based models. However, with additional fine-tuning, EEG-BBNet surpasses CNN-based models, achieving a correct recognition rate of approximately 90%. This improvement enables EEG-BBNet to adapt its learning in new sessions and to acquire different domain knowledge across various BCI tasks (e.g., motor imagery to steady-state visually evoked potentials), demonstrating promise for practical authentication.","PeriodicalId":13014,"journal":{"name":"IEEE Sensors Letters","volume":"9 2","pages":"1-4"},"PeriodicalIF":2.2,"publicationDate":"2024-12-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142993288","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

Real-Time Detection and Dynamic Compensation of Mismatch in Rate-Integrating MEMS Gyroscopes Using Virtual Rotation 基于虚拟旋转的速率积分MEMS陀螺仪失配实时检测与动态补偿

IF 2.2

IEEE Sensors Letters Pub Date : 2024-12-26 DOI: 10.1109/LSENS.2024.3520910

Takashiro Tsukamoto;Fumito Miyazaki;Taichi Uchiumi;Yasushi Tomizawa;Shuji Tanaka

{"title":"Real-Time Detection and Dynamic Compensation of Mismatch in Rate-Integrating MEMS Gyroscopes Using Virtual Rotation","authors":"Takashiro Tsukamoto;Fumito Miyazaki;Taichi Uchiumi;Yasushi Tomizawa;Shuji Tanaka","doi":"10.1109/LSENS.2024.3520910","DOIUrl":"https://doi.org/10.1109/LSENS.2024.3520910","url":null,"abstract":"Rate-integrating gyroscopes provide significant advantages in temperature stability and bandwidth. However, their performance is not fully realized due to the \u0000<italic>X–Y\u0000 mismatches in the micro-electromechanical systems (MEMS) resonator, usually caused by fabrication imperfections, aging, or temperature fluctuation. This letter presents a novel approach for real-time detection and dynamic compensation of these mismatches based on a virtual rotation technique. The proposed method detects the mismatch parameters as the angle dependence of clockwise and counterclockwise frequencies, which has the same degree of freedom as the stiffness and damping mismatch parameters, meaning that it could fully detect all of the mismatch information. A method to determine the mismatch compensation signals based on linear transformation is developed, minimizing all of the mismatch signals by four independent PI controllers. The real-time mismatch compensation was experimentally demonstrated using the software-defined MEMS gyroscope system. This approach paves the way for the practical deployment of rate-integrating MEMS gyroscopes.","PeriodicalId":13014,"journal":{"name":"IEEE Sensors Letters","volume":"9 2","pages":"1-4"},"PeriodicalIF":2.2,"publicationDate":"2024-12-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142940697","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

FOG: Fast Octree Generator for LiDAR Point Clouds FOG：激光雷达点云的快速八叉树生成器

IF 2.2

IEEE Sensors Letters Pub Date : 2024-12-26 DOI: 10.1109/LSENS.2024.3520800

Ricardo Roriz;Diogo Costa;Mongkol Ekpanyapong;Tiago Gomes

引用次数: 0

LG-Sleep: Local and Global Temporal Dependencies for Mice Sleep Scoring LG-Sleep：小鼠睡眠评分的局部和全局时间依赖性

IF 2.2

IEEE Sensors Letters Pub Date : 2024-12-26 DOI: 10.1109/LSENS.2024.3523427

Shadi Sartipi;Mie Andersen;Natalie Hauglund;Celia Kjaerby;Verena Untiet;Maiken Nedergaard;Mujdat Cetin

{"title":"LG-Sleep: Local and Global Temporal Dependencies for Mice Sleep Scoring","authors":"Shadi Sartipi;Mie Andersen;Natalie Hauglund;Celia Kjaerby;Verena Untiet;Maiken Nedergaard;Mujdat Cetin","doi":"10.1109/LSENS.2024.3523427","DOIUrl":"https://doi.org/10.1109/LSENS.2024.3523427","url":null,"abstract":"Efficiently identifying sleep stages is crucial for unraveling the intricacies of sleep in both preclinical and clinical research. The labor-intensive nature of manual sleep scoring, demanding substantial expertise, has prompted a surge of interest in automated alternatives. Sleep studies in mice play a significant role in understanding sleep patterns and disorders and underscore the need for robust scoring methodologies. In response, this letter introduces LG-Sleep, a novel subject-independent deep neural network architecture designed for mice sleep scoring through electroencephalogram (EEG) signals. LG-Sleep extracts local and global temporal transitions within EEG signals to categorize sleep data into three stages: wake, rapid eye movement (REM) sleep, and non-REM sleep. The model leverages local and global temporal information by employing time-distributed convolutional neural networks to discern local temporal transitions in EEG data. Subsequently, features derived from the convolutional filters traverse long short-term memory blocks, capturing global transitions over extended periods. Crucially, the model is optimized in an autoencoder–decoder fashion, facilitating generalization across distinct subjects and adapting to limited training samples. Experimental findings demonstrate superior performance of LG-Sleep compared to conventional deep neural networks. Moreover, the model exhibits good performance across different sleep stages even when tasked with scoring based on limited training samples.","PeriodicalId":13014,"journal":{"name":"IEEE Sensors Letters","volume":"9 2","pages":"1-4"},"PeriodicalIF":2.2,"publicationDate":"2024-12-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142993371","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

Biquaternion Evolution in Attitude Estimation Using a Generalized Vector Measurement 基于广义矢量测量的姿态估计中的双四元数演化

IF 2.2

IEEE Sensors Letters Pub Date : 2024-12-25 DOI: 10.1109/LSENS.2024.3521956

Yang Liu;Jin Wu;Fulong Ma;Chengxi Zhang

引用次数: 0

Rapid and Sensitive Electrochemical Detection of Escherichia coli in Water Using Cr–Au IDE-Porous Silicon Sensor Cr-Au - ide -多孔硅传感器对水中大肠杆菌的快速灵敏电化学检测

IF 2.2

IEEE Sensors Letters Pub Date : 2024-12-25 DOI: 10.1109/LSENS.2024.3522457

Vandana Kumari Chalka;Kamaljit Rangra;Saakshi Dhanekar

{"title":"Rapid and Sensitive Electrochemical Detection of Escherichia coli in Water Using Cr–Au IDE-Porous Silicon Sensor","authors":"Vandana Kumari Chalka;Kamaljit Rangra;Saakshi Dhanekar","doi":"10.1109/LSENS.2024.3522457","DOIUrl":"https://doi.org/10.1109/LSENS.2024.3522457","url":null,"abstract":"An efficient electrochemical sensor based on Cr–Au interdigitated electrode porous silicon has been developed to rapidly assess <italic>Escherichia coli (E. coli) bacteria in water. Coliform bacteria, particularly <italic>E. coli, contribute significantly to waterborne contamination, driven by overuse and insufficient cleanliness around water bodies. This letter incorporates the fabrication of porous silicon (PSi), characterization, synthesis of bacterial dilutions, and testing of the sensor in the presence of varying <italic>E. coli dilutions. The dilutions are prepared from the stock solution of bacterial concentrations and hydrogen peroxide (H2O2). The interaction of porous silicon with bacteria incubated in H2O2 leads to a change in potential across the electrodes in real time. The limits of detection and sensitivity for the sensor are 0.187 CFU/mL and 113 mV⋅mL/CFU, respectively. The response time and the recovery time of the sensor are 80 and 90 ms, respectively. In addition, analyses such as repeatability and testing in tap water, <italic>Pseudomonas, and <italic>Citrobacter are conducted. For a user-friendly output, the sensor has been interfaced with a signal conditioning circuit and a display. This prototype offers a quick and precise way to identify the quality of drinking water, making it a potential solution to the growing problems caused by water pollution.","PeriodicalId":13014,"journal":{"name":"IEEE Sensors Letters","volume":"9 2","pages":"1-4"},"PeriodicalIF":2.2,"publicationDate":"2024-12-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142975822","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

Distributional Substitution for Intersensor Distances in Random Fields 随机场中传感器间距离的分布替换

IF 2.2

IEEE Sensors Letters Pub Date : 2024-12-24 DOI: 10.1109/LSENS.2024.3521994

Jia Ye;Shuping Dang;Shuaishuai Guo;Raed Shubair;Marwa Chafii

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 : 2024-12-24 DOI: 10.1109/LSENS.2024.3521204

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 : 2024-12-24 DOI: 10.1109/LSENS.2024.3521200

引用次数: 0

Design of a Spore Germination Sensor for Orchids 兰花孢子萌发传感器的设计

IF 2.2

IEEE Sensors Letters Pub Date : 2024-12-20 DOI: 10.1109/LSENS.2024.3520018

Yi-Bing Lin;Yi-Ting Chen;Wan-Jung Hsieh;Wen-Liang Chen;Yun-Wei Lin;Edward Sun

{"title":"Design of a Spore Germination Sensor for Orchids","authors":"Yi-Bing Lin;Yi-Ting Chen;Wan-Jung Hsieh;Wen-Liang Chen;Yun-Wei Lin;Edward Sun","doi":"10.1109/LSENS.2024.3520018","DOIUrl":"https://doi.org/10.1109/LSENS.2024.3520018","url":null,"abstract":"The Phalaenopsis orchid is highly valued in the ornamental flower market and is primarily cultivated in greenhouses. In a traditional commercial greenhouse, farmers must manually check daily for any signs of disease among the plants. Sick plants must be removed immediately to prevent the spread of diseases to healthy ones. In precision agriculture, farmers are expected to be alerted when a certain percentage (e.g., less than 2%) of the plants are infected so that they can be removed at the right time. Many experiments have been conducted in laboratories with constant temperature and humidity to investigate the spore germination rate, where spores typically germinate within a few days. However, these findings cannot be directly applied to large-scale greenhouses with long growth periods (over 200 days) and varying temperatures and humidity. The contribution of this letter is that we are the first to propose a sensor specifically designed for use in large-scale greenhouse environments to determine the spore germination rate for orchids. We have designed a simple yet novel algorithm to dynamically calibrate the spore germination sensor. Our experiments indicate that with the calibrated spore germination sensor, the outbreak probability can be completely eliminated, and human checking overhead can be reduced by up to 97.8%.","PeriodicalId":13014,"journal":{"name":"IEEE Sensors Letters","volume":"9 2","pages":"1-4"},"PeriodicalIF":2.2,"publicationDate":"2024-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142976134","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