IEEE Sensors Journal最新文献_第5页

Human Sleep Posture Recognition Exploiting Spatial Morphology and Local Micro-Doppler Characteristics Using MIMO Radar

IF 4.3 2区综合性期刊

IEEE Sensors Journal Pub Date : 2024-11-04 DOI: 10.1109/JSEN.2024.3486458

Qifeng Lv;Zhaocheng Yang;Ping Chu;Yibo Wang;Jianhua Zhou

{"title":"Human Sleep Posture Recognition Exploiting Spatial Morphology and Local Micro-Doppler Characteristics Using MIMO Radar","authors":"Qifeng Lv;Zhaocheng Yang;Ping Chu;Yibo Wang;Jianhua Zhou","doi":"10.1109/JSEN.2024.3486458","DOIUrl":"https://doi.org/10.1109/JSEN.2024.3486458","url":null,"abstract":"Radar sleep posture recognition has received much attention due to its advantages, such as privacy preservation and freedom from quilt occlusion. However, radar echo signals are highly sensitive to different humans, which leads to poor generalization ability. To address this problem, we propose a human sleep posture recognition method exploiting spatial morphology and local micro-Doppler characteristics using multiple-input multiple-output (MIMO) radar. We first perform multidimensional imaging of human targets. Then, we extract the spatial morphology features of human sleep posture and local micro-Doppler features of human sleep life activities and utilize the Bagged Trees classifier to complete the classification of left lateral, right lateral, and nonlateral. For the nonlateral posture, we further extract new feature sequences from multidimensional imaging and combine them with a long and short-term memory (LSTM) network to complete the classification of supine and prone posture. Experimental results show that the proposed method achieves an average accuracy of 97.6% for recognizing the four sleep postures, has good reliability across individuals, and performs efficiently in most types of beds with single human at different sleeping positions. Finally, we have deployed the proposed method in a designed real-time system, validating its low computation complexity and the feasibility of edge applications.","PeriodicalId":447,"journal":{"name":"IEEE Sensors Journal","volume":"24 24","pages":"41524-41533"},"PeriodicalIF":4.3,"publicationDate":"2024-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142858766","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Circumferential Radially Magnetized Electromagnetic Acoustic Transducer for Nondestructive Monitoring in High-Temperature (≥600 °C) Environments

IF 4.3 2区综合性期刊

IEEE Sensors Journal Pub Date : 2024-11-04 DOI: 10.1109/JSEN.2024.3487837

Siyu Wang;Peng Chen;Qin Chen;Fangji Gan

{"title":"Circumferential Radially Magnetized Electromagnetic Acoustic Transducer for Nondestructive Monitoring in High-Temperature (≥600 °C) Environments","authors":"Siyu Wang;Peng Chen;Qin Chen;Fangji Gan","doi":"10.1109/JSEN.2024.3487837","DOIUrl":"https://doi.org/10.1109/JSEN.2024.3487837","url":null,"abstract":"In the petrochemical industry, plants must be shut down regularly for maintenance to safeguard human lives and property from catastrophic explosions. The introduction of nondestructive monitoring technologies has made this process more efficient and economical. However, nondestructive monitoring in extreme heat environments (\u0000<inline-formula> <tex-math>${ge } 600~^{circ }$ </tex-math></inline-formula>\u0000C) remains a challenge. Electromagnetic ultrasound technology has notable advantages in monitoring high-temperature equipment due to the absence of coupling agents and the allowance of lift-off distances. However, weak signal amplitudes and low operating temperatures of electromagnetic acoustic transducers (EMATs) severely limit their application in harsh high-temperature scenarios. To improve the signal amplitude and solve the problem of monitoring extreme heat equipment, we propose a circumferential radially magnetized EMAT (CRM-EMAT). It consists of eight circumferential radially magnetized (CRM) sector-shaped permanent magnets, wrapped around a cylindrical core, and a permalloy patch attached to the lower surface of this magnetic combination. Three-dimensional numerical simulations and laboratory experiments were carried out to obtain the optimal dimensions of each part and to demonstrate that the probe improves the signal amplitude by a factor of over 6 and can operate stably up to \u0000<inline-formula> <tex-math>$600~^{circ }$ </tex-math></inline-formula>\u0000C. The CRM-EMAT represents a breakthrough in the operation temperature of EMATs and realizes superior signals with lower power consumption, thus accelerating the industrial application of electromagnetic ultrasound technology.","PeriodicalId":447,"journal":{"name":"IEEE Sensors Journal","volume":"24 24","pages":"41065-41072"},"PeriodicalIF":4.3,"publicationDate":"2024-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142859175","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Predict Tactile Grasp Outcomes Based on Attention and Low-Rank Fusion Network

IF 4.3 2区综合性期刊

IEEE Sensors Journal Pub Date : 2024-11-04 DOI: 10.1109/JSEN.2024.3487551

Peng Wu;Chiawei Chu;Chengliang Liu;Senlin Fang;Jingnan Wang;Jiashu Liu;Zhengkun Yi

{"title":"Predict Tactile Grasp Outcomes Based on Attention and Low-Rank Fusion Network","authors":"Peng Wu;Chiawei Chu;Chengliang Liu;Senlin Fang;Jingnan Wang;Jiashu Liu;Zhengkun Yi","doi":"10.1109/JSEN.2024.3487551","DOIUrl":"https://doi.org/10.1109/JSEN.2024.3487551","url":null,"abstract":"Tactile measurement endows robots with the ability to interact with the environment, which is crucial for accurately predicting grasp outcomes. However, this field has some areas for improvement, particularly regarding the key feature extraction and efficient fusion of multiple tactile modality features. To address these issues, we propose an advanced measurement technique that uses a tactile attention (TacAtt) module and a tactile low-rank tensor fusion (TLRTF) module to enhance the measurement and evaluation capabilities of multiple tactile sensors. By integrating the TacAtt module into the convolutional neural network (CNN), our model enhances the feature extraction capabilities for multiple tactile signals, focusing more on the contact area of the object, which provides highly targeted tactile input features for subsequent feature fusion. Moreover, the TLRTF module successfully addresses the challenges of insufficient fusion and redundant information in traditional concatenation methods when integrating features from multiple tactile sensors. The combination of the two proposed modules forms a strong system for tactile feature extraction and fusion. Our model achieves an accuracy of 78.31% on the public tactile dataset, which represents a significant improvement of 3.16% over the baseline model, thus validating the effectiveness and superiority of our model.","PeriodicalId":447,"journal":{"name":"IEEE Sensors Journal","volume":"24 24","pages":"42500-42510"},"PeriodicalIF":4.3,"publicationDate":"2024-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142844245","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

New One Data Wire Serial Bus for Distributed Sensor Arrays

IF 4.3 2区综合性期刊

IEEE Sensors Journal Pub Date : 2024-11-04 DOI: 10.1109/JSEN.2024.3487249

Leonardo Balocchi;Michele Vitelli;Simone Contardi;Iacopo Nannipieri;Paolo Bruschi;Stefania Bonafoni;Luca Roselli

{"title":"New One Data Wire Serial Bus for Distributed Sensor Arrays","authors":"Leonardo Balocchi;Michele Vitelli;Simone Contardi;Iacopo Nannipieri;Paolo Bruschi;Stefania Bonafoni;Luca Roselli","doi":"10.1109/JSEN.2024.3487249","DOIUrl":"https://doi.org/10.1109/JSEN.2024.3487249","url":null,"abstract":"This article presents a one-data wire communication protocol, developed by Sensichips s.r.l., for multisensor readout applications with advantages in transfer efficiency and readout speed over currently used protocols. The protocol has been named Sensibus (SB), which is a multidrop single-controller, multiple-responder-type asynchronous protocol, and takes some features of standard serial data buses, improving the addressing and data transfer efficiency aspects. It allows multiple real-time writings and readings and supports beam-forming applications through sensor-level programmatic delays. In the case of sensor arrays, that is, ultrasonic sensing, the ability to perform beam-forming and beam-steering provides better detection in a preferential spatial direction through precise and accurate programmable delays. The SB was then implemented on a cable and used for gas measurements with distributed sensors to demonstrate their actual effectiveness. This work opens the door to new applications for distributed sensing, enabling fast measurements for real-time tasks: the simplicity of the protocol makes it easily implementable and low cost, ideal for what is required by the Internet-of-Things (IoT) standards.","PeriodicalId":447,"journal":{"name":"IEEE Sensors Journal","volume":"24 24","pages":"41894-41903"},"PeriodicalIF":4.3,"publicationDate":"2024-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142844254","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Joint Throughput Maximization and Energy Management for Ultralow Power Ambient Backscatter Communication in WBANs by Distributed Deep Reinforcement Learning

IF 4.3 2区综合性期刊

IEEE Sensors Journal Pub Date : 2024-11-04 DOI: 10.1109/JSEN.2024.3487354

Youze Yang;Sen Yan

{"title":"Joint Throughput Maximization and Energy Management for Ultralow Power Ambient Backscatter Communication in WBANs by Distributed Deep Reinforcement Learning","authors":"Youze Yang;Sen Yan","doi":"10.1109/JSEN.2024.3487354","DOIUrl":"https://doi.org/10.1109/JSEN.2024.3487354","url":null,"abstract":"In this article, we present an ultralow power ambient backscatter communications (AmBC) framework for wireless body area networks (WBANs). In these WBANs, the AmBC sensor nodes are energy harvesting (EH) powered and are able to transmit their own collected physiological information by backscattering the signals emitted by the Wi-Fi access point (AP). To achieve maximum throughput performance with sustainable operation for these ultralow power AmBC sensor nodes in WBANs, we propose a three-phase AmBC transmission model and formulate a joint throughput maximization and energy management (JTMEM) problem. The first-order Markov process channel model and random data collection are also developed in the system model to represent practical health monitoring application environments. Since the full real-time channel state information (CSI) is difficult to obtain at the beginning of each time slot, the optimal working mode selection (WMS) policy is not available for this problem. To overcome this issue, we propose a deep reinforcement learning (DRL)-based algorithm, which can use historical CSI to learn the potential channel correlation to infer the channel changing and decide the appropriate working mode for each AmBC sensor node. Moreover, we establish a distributed DRL structure to overcome huge action space issues and make the proposed algorithm flexible and scalable. Finally, extensive numerical simulation results demonstrate that our proposed algorithm can approach the average throughput performance and rewards of the ergodic policy, which has full real-time CSI in different scenarios, and represents favorable energy management performance after convergence.","PeriodicalId":447,"journal":{"name":"IEEE Sensors Journal","volume":"24 24","pages":"42484-42499"},"PeriodicalIF":4.3,"publicationDate":"2024-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142844274","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Miniaturized Terahertz Heterodyne Radiometer With 183-GHz Subharmonic Mixer and 91-GHz Frequency Tripler for Water Vapor Sensing in CubeSat

IF 4.3 2区综合性期刊

IEEE Sensors Journal Pub Date : 2024-11-04 DOI: 10.1109/JSEN.2024.3487241

Vahid Rastinasab;Weidong Hu;Yuming Bai;Hamid Raza;Wenze Yuan;Zhen Tan

引用次数: 0

A Long Period Grating Sensor Based on Microtaper Eccentric Core Fiber 基于微锥偏心芯光纤的长周期光栅传感器

IF 4.3 2区综合性期刊

IEEE Sensors Journal Pub Date : 2024-11-04 DOI: 10.1109/JSEN.2024.3487252

Xuelan He;Chuang Zhang;Liusong Yang;Wenchao Li;Jian Xing;Shuanglong Cui

引用次数: 0

Consecutive and Similarity Information Fused Graph Learning Using Semi-Nonnegative Matrix Factorization for Sequential Data Clustering

IF 4.3 2区综合性期刊

IEEE Sensors Journal Pub Date : 2024-11-04 DOI: 10.1109/JSEN.2024.3486550

Guopeng Li;Kun Han;Xiaofeng Song;Dan Song

{"title":"Consecutive and Similarity Information Fused Graph Learning Using Semi-Nonnegative Matrix Factorization for Sequential Data Clustering","authors":"Guopeng Li;Kun Han;Xiaofeng Song;Dan Song","doi":"10.1109/JSEN.2024.3486550","DOIUrl":"https://doi.org/10.1109/JSEN.2024.3486550","url":null,"abstract":"Sequential data clustering plays an important role in many applications, such as motion recognition, video segmentation, gene sequence analysis, and so on. The key idea is to learn a locally continuous and connected representation by exploiting the similarity structure in the sequence to cluster them into a set of nonoverlap fragments. Most existing methods focus on exploring the local consecutive similarity structure but ignore other similarity structures, resulting in a barely satisfactory clustering performance. Given this gap in the research, this article focuses on fusing both the consecutive and similarity information in the representation learning process by exploiting different similarity structures in sequence, and a novel regularized semi-nonnegative matrix factorization (Semi-NMF)-based method for sequential data clustering is proposed. It presents two critical differences from other classic sequential data clustering methods: first, it learns a graph representation by using the nearest neighbors with the consecutive neighbor information in a one-stage Semi-NMF model. Second, two novel graph regularization terms are specifically designed to preserve both the consecutive relationship and similarity information simultaneously in the learning process. An iterative updating optimization algorithm is then proposed to solve the corresponding nonconvex optimization problem. Extensive clustering experiments on the real ordered face image and the sequential motion datasets demonstrate the effectiveness and superiority of the proposed method compared to other state-of-the-art methods.","PeriodicalId":447,"journal":{"name":"IEEE Sensors Journal","volume":"24 24","pages":"41534-41547"},"PeriodicalIF":4.3,"publicationDate":"2024-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142859157","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Pd/AlGaN/GaN HEMT-Based Room Temperature Hydrogen Gas Sensor 基于 Pd/AlGaN/GaN HEMT 的室温氢气传感器

IF 4.3 2区综合性期刊

IEEE Sensors Journal Pub Date : 2024-11-04 DOI: 10.1109/JSEN.2024.3487877

Vikas Pandey;Amit Kumar;Ahmed S. Razeen;Ankur Gupta;Sudhiranjan Tripathy;Mahesh Kumar

{"title":"Pd/AlGaN/GaN HEMT-Based Room Temperature Hydrogen Gas Sensor","authors":"Vikas Pandey;Amit Kumar;Ahmed S. Razeen;Ankur Gupta;Sudhiranjan Tripathy;Mahesh Kumar","doi":"10.1109/JSEN.2024.3487877","DOIUrl":"https://doi.org/10.1109/JSEN.2024.3487877","url":null,"abstract":"There is a burgeoning need for miniaturized sensors to detect H2 leaks throughout the entire value chain while envisioning a hydrogen economy. Developing a user-centric approach for manufacturing H2 sensors exhibiting high performance, long-term stability, and ease in data communication still poses a significant challenge. With this objective in mind, we develop a Pd/AlGaN/GaN high electron mobility transistor (HEMT)-based Internet of Thing (IoT)-enabled H2 sensing device capable of detecting extremely low concentrations (~0.5 ppm) at room temperature (RT). The fabrication process of the device involves a photolithography technique for its fabrication and functionalization of the active area between the drain and source by Pd nanoparticles using the dc sputtering method. Afterward, Pd nanoparticles were functionalized onto the HEMT surface and sputtering times were also optimized. The sensor demonstrated shallow time parameters, with a recovery time of 52 s and a response time of 29 s for 10 ppm H2 at RT respectively, with an exceptionally low detection limit of 0.5 ppm. The selectivity of the fabricated sensor was also investigated. Sensitivity toward NO\u0000<inline-formula> <tex-math>$_{{2},}$ </tex-math></inline-formula>\u0000 CO\u0000<inline-formula> <tex-math>$_{{2},}$ </tex-math></inline-formula>\u0000H2 S, NH\u0000<inline-formula> <tex-math>$_{{3}} $ </tex-math></inline-formula>\u0000, and SO2 was approximately 1.5%, 4%, 2%, 3%, and 6.5%, respectively, compared to ~33% for H2. Furthermore, the sensor displayed marvelous replicability, working in a highly humid environment while operating in a temperature range of 20–\u0000<inline-formula> <tex-math>$75~^{circ }$ </tex-math></inline-formula>\u0000C. The sensor was incorporated into a prototype featuring a wireless capable Nano ESP32 IoT platform for real-time conditions. The reported proof of concept on the RT H2 sensor with enhanced characteristics can be envisioned for further technology demonstration.","PeriodicalId":447,"journal":{"name":"IEEE Sensors Journal","volume":"24 24","pages":"40409-40416"},"PeriodicalIF":4.3,"publicationDate":"2024-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142844573","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

The Effectiveness of Tactile Intervention Sensors in Mitigating Fatigue of High-Speed Railway Drivers

IF 4.3 2区综合性期刊

IEEE Sensors Journal Pub Date : 2024-11-04 DOI: 10.1109/JSEN.2024.3487844

Zizheng Guo;Xiaoyu Chang;Guofa Li;Ming Zhou;Bangwei Yuan;Hui Xu;Zhe Li;Paul Green

{"title":"The Effectiveness of Tactile Intervention Sensors in Mitigating Fatigue of High-Speed Railway Drivers","authors":"Zizheng Guo;Xiaoyu Chang;Guofa Li;Ming Zhou;Bangwei Yuan;Hui Xu;Zhe Li;Paul Green","doi":"10.1109/JSEN.2024.3487844","DOIUrl":"https://doi.org/10.1109/JSEN.2024.3487844","url":null,"abstract":"Long monotonous driving tasks can induce driver fatigue, significantly reducing vigilance and threatening the safety of high-speed train operations. Despite the importance of addressing this issue, effective interventions to mitigate driver fatigue in the context of high-speed railway (HSR) systems remain a challenge. This study aims to examine the effects of three tactile intervention strategies [transcutaneous electrical acupoint stimulation (TEAS), thermal stimulation (TS), and vibration stimulation (VS)] on alleviating driver fatigue. A high-speed train simulator was used to conduct experiments with subjects. Each participant was required to complete four driving tasks: one without any intervention and three with each of the aforementioned tactile interventions when experiencing fatigue. Physiological metrics such as reaction time (RT), electrocardiogram (ECG), and electroencephalogram (EEG) were collected to assess driver vigilance. The results revealed that thermal and VSs effectively reduced RTs (TS =1.11 s, VS =1.09 s, no-intervention =1.12 s) and slowed down the fatigue process. Drivers exhibited higher vigilance levels during these interventions, as reflected in improved ECG and EEG features. For example, the high-frequency energy of the EEG signal increases during the stimulation compared to before the stimulation. However, TEAS did not show significant effects on fatigue reduction. This study contributes to the literature by providing evidences to support that appropriate tactile interventions, particularly thermal and VSs, can effectively mitigate driver fatigue and improve vigilance levels. These findings offer practical insights for enhancing the safety of HSR operations by minimizing risks associated with driver fatigue.","PeriodicalId":447,"journal":{"name":"IEEE Sensors Journal","volume":"24 24","pages":"42103-42117"},"PeriodicalIF":4.3,"publicationDate":"2024-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142844287","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0