IEEE Sensors Letters最新文献

IEEE Sensors Letters Publication Information IEEE 传感器快报》出版信息

IF 2.2

IEEE Sensors Letters Pub Date : 2024-11-14 DOI: 10.1109/LSENS.2024.3496215

引用次数: 0

IEEE Sensors Letters Subject Categories for Article Numbering Information 用于文章编号信息的 IEEE 传感器快报主题类别

IF 2.2

IEEE Sensors Letters Pub Date : 2024-11-14 DOI: 10.1109/LSENS.2024.3496219

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Classification of Motor Imagery Tasks Using EEG Based on Wavelet Scattering Transform and Convolutional Neural Network 基于小波散射变换和卷积神经网络的脑电图运动意象任务分类法

IF 2.2

IEEE Sensors Letters Pub Date : 2024-11-08 DOI: 10.1109/LSENS.2024.3488356

Rantu Buragohain;Jejariya Ajaybhai;Karan Nathwani;Vinayak Abrol

{"title":"Classification of Motor Imagery Tasks Using EEG Based on Wavelet Scattering Transform and Convolutional Neural Network","authors":"Rantu Buragohain;Jejariya Ajaybhai;Karan Nathwani;Vinayak Abrol","doi":"10.1109/LSENS.2024.3488356","DOIUrl":"https://doi.org/10.1109/LSENS.2024.3488356","url":null,"abstract":"Electroencephalogram (EEG) signal classification is of utmost importance in brain-computer interface (BCI) systems. However, the inherent complex properties of EEG signals pose a challenge in their analysis and modeling. This letter proposes a novel approach of integrating wavelet scattering transform (WST) with convolutional neural network (CNN) for classifying motor imagery (MI) via EEG signals (referred as WST-CNN), capable of extracting distinctive characteristics in signals even when the data is limited. In this architecture, the first layer is nontrainable WST features with fixed initializations in WST-CNN. Furthermore, WSTs are robust to local perturbations in data, especially in the form of translation invariance, and resilient to deformations, thereby enhancing the network's reliability. The performance of the proposed idea is evaluated on the DBCIE dataset for three different scenarios: left-arm (LA) movement, right-arm (RA) movement, and simultaneous movement of both arms (BA). The BCI Competition IV-2a dataset was also employed to validate the proposed concept across four distinct MI tasks, such as movements in: left-hand (LH), right-hand (RH), feet (FT), and tongue (T). The classifications' performance was evaluated in terms of accuracy (\u0000<inline-formula><tex-math>$eta$</tex-math></inline-formula>\u0000), sensitivity (\u0000<inline-formula><tex-math>$S_{e}$</tex-math></inline-formula>\u0000), specificity (\u0000<inline-formula><tex-math>$S_{p}$</tex-math></inline-formula>\u0000), and weighted F1-score, which reached up to 92.72%, 92.72%, 97.57%, and 92.75% for classifying LH, RH, FT, and T on the BCI Competition IV-2a dataset and 89.19%, 89.19%, 94.60%, and 89.33% for classifying LA, RA, and BA, on the DBCIE dataset, respectively.","PeriodicalId":13014,"journal":{"name":"IEEE Sensors Letters","volume":"8 12","pages":"1-4"},"PeriodicalIF":2.2,"publicationDate":"2024-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142636262","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

Tracking and Estimation Approach for Human-Aware Mobile Robot Navigation

IF 2.2

IEEE Sensors Letters Pub Date : 2024-11-06 DOI: 10.1109/LSENS.2024.3492373

Winston Doss Marveldoss;Bandaru Joshika;Bijo Sebastian

{"title":"Tracking and Estimation Approach for Human-Aware Mobile Robot Navigation","authors":"Winston Doss Marveldoss;Bandaru Joshika;Bijo Sebastian","doi":"10.1109/LSENS.2024.3492373","DOIUrl":"https://doi.org/10.1109/LSENS.2024.3492373","url":null,"abstract":"Accurate perception of the environment, including the detection and tracking of humans, is essential for safe navigation of mobile robots in human-centric environments. Existing State-of-the-Art techniques rely on high-performance sensors. This leads to expensive robotic systems, which limits the large-scale deployment of autonomous mobile robots in social spaces. In this letter, we propose and validate a novel human tracking and estimation approach that relies on a low-cost 2-D LiDAR and a monocular camera. The proposed approach leverages the capabilities of each sensor by relying on the camera for human detection and the LiDAR for human pose estimation. Precise calibration and registration of the sensor frames allow for data association in the presence of multiple human targets. Human detection and pose estimation data from the sensor suite are used as measurement by an extended Kalman filter, which allows for effective tracking over multiple frames, even in the presence of occlusion. The overall approach addresses the limitations of each individual sensor without increasing the overall cost of the sensor suite. Tracking and estimation performance for the proposed approach was evaluated on experimental trails in real-world conditions with artificial markers as ground truth for each human target. The results demonstrate satisfactory performance for the proposed approach to be used in human-aware autonomous navigation in real-world settings.","PeriodicalId":13014,"journal":{"name":"IEEE Sensors Letters","volume":"8 12","pages":"1-4"},"PeriodicalIF":2.2,"publicationDate":"2024-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142679324","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

Modeling and Characterizing an Impedance-Type Micro Flow Sensor With Pulse Excitation 脉冲激励阻抗式微型流量传感器的建模与特性分析

IF 2.2

IEEE Sensors Letters Pub Date : 2024-11-04 DOI: 10.1109/LSENS.2024.3490983

Wei Xu;Wenlin Xiao;Ke Xiao

引用次数: 0

Investigation of Surface Affinity and Desorption Kinetics of Mixture of Volatile Organic Compounds on CuO-Based Resistive Gas Sensors 氧化铜电阻式气体传感器表面亲和力和挥发性有机化合物混合物解吸动力学研究

IF 2.2

IEEE Sensors Letters Pub Date : 2024-11-04 DOI: 10.1109/LSENS.2024.3490837

Saraswati Kulkarni;Ruma Ghosh

{"title":"Investigation of Surface Affinity and Desorption Kinetics of Mixture of Volatile Organic Compounds on CuO-Based Resistive Gas Sensors","authors":"Saraswati Kulkarni;Ruma Ghosh","doi":"10.1109/LSENS.2024.3490837","DOIUrl":"https://doi.org/10.1109/LSENS.2024.3490837","url":null,"abstract":"Analysis and understanding of the mixture of volatile organic compound (VOC) sensing are crucial for the development of sensors in conditions closer to real-life applications, such as health care, air quality monitoring, industrial safety, etc. In this study, we investigated the response dynamics of CuO-nanomaterial-based resistive sensors to 25–75 ppm of individual, binary, ternary, and quaternary mixtures of five VOCs—acetone, acetonitrile, isopropanol, methanol, and toluene at 300 °C. The CuO exhibited responses equal to the sum of its steady-state responses to individual VOCs for all the possible combinations of binary and ternary mixtures with 25 ppm of the constituent gases. A systematic study based on the recovery cycle was conducted by retracting the VOCs sequentially from the proximity of CuO surface after recording response cycle. Interestingly, the recovery time constant τ\u0000<sub>rec</sub>\u0000 was found to follow the order—isopropanol (96.93 – 435.45) ≥ methanol (111.82 – 313.21) > toluene (9.9 – 220.49) > acetonitrile (85.96 – 332.32) > acetone (could not be found) in all binary, ternary, and quaternary mixtures of VOCs, irrespective of the sequence of retraction of the VOCs from the mixture. Also, it was found that VOCs with –OH groups have higher adsorption capacity on the sensing layer as compared to –NH\u0000<sub>2</sub>\u0000, – C = O, and aromatic VOCs.","PeriodicalId":13014,"journal":{"name":"IEEE Sensors Letters","volume":"8 12","pages":"1-4"},"PeriodicalIF":2.2,"publicationDate":"2024-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142672206","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 Comparative Study on Synergy Between Energy Harvesting and Pressure Sensing in Piezotronic Heterojunctions

IF 2.2

IEEE Sensors Letters Pub Date : 2024-11-04 DOI: 10.1109/LSENS.2024.3491581

Zihao Liang;Emad Iranmanesh;Shuxin Lin;Weipeng Xuan;Hang Zhou

引用次数: 0

Optical Path Difference Modulation Method Based on the Kerr Effect 基于克尔效应的光路差调制方法

IF 2.2

IEEE Sensors Letters Pub Date : 2024-11-01 DOI: 10.1109/LSENS.2024.3490658

Qihao Zeng;Mingkun Wang;Yupeng Zhang;Hongyi Lin;Wei Qiao;Dong Sun

{"title":"Optical Path Difference Modulation Method Based on the Kerr Effect","authors":"Qihao Zeng;Mingkun Wang;Yupeng Zhang;Hongyi Lin;Wei Qiao;Dong Sun","doi":"10.1109/LSENS.2024.3490658","DOIUrl":"https://doi.org/10.1109/LSENS.2024.3490658","url":null,"abstract":"Optical path difference is commonly used to adjust the signal of coherent light. Current optical systems typically adjust the transmission distance of the beam or the refractive index of the medium to change the optical path. However, the former approach often involves complex operations, risks of mechanical damage, and difficulties in adjustment, while the latter has a limited adjustment range. This letter proposes a Kerr-fiber-based optical path difference adjustment system. In this system, the Kerr liquid inside the fiber induces a change in birefringence due to the electric field's polarization effect, enabling rapid optical path adjustment. The system adjusts the effective refractive index by applying an external voltage: a 10-V voltage induces a one-cycle change in interference fringes, and increasing the voltage to 50 V results in a 0.1 change in the refractive index, with a minimum adjustment precision of 0.01. Experimental results demonstrate a millisecond-level response rate for the overall system. Comparative tests show that this method is similar to classic adjustment methods but offers simplified operation. In addition, the system exhibits enhanced stability in scenarios requiring rapid and precise adjustments.","PeriodicalId":13014,"journal":{"name":"IEEE Sensors Letters","volume":"8 12","pages":"1-4"},"PeriodicalIF":2.2,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142672011","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

Improving the Power Consumption of Thread Mesh Networks Through Genetic Algorithm Optimization

IF 2.2

IEEE Sensors Letters Pub Date : 2024-10-30 DOI: 10.1109/LSENS.2024.3488652

Jair A.Lima Silva;Wesley Costa;Khan Md Mazedul Islam;Jan Kleine Deters;Ewout Bergsma;Helder R. Oliveira Rocha;Patrick Noordhoek;Heinrich Wörtche

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Exploring Tensor Completion for Missing Data Estimation in Wind Farms 探索用于风电场缺失数据估算的张量完成方法

IF 2.2

IEEE Sensors Letters Pub Date : 2024-10-30 DOI: 10.1109/LSENS.2024.3488560

Hao Jia;Pere Marti-Puig;Cesar F Caiafa;Moises Serra-Serra;Zhe Sun;Jordi Solé-Casals

引用次数: 0