IEEE Sensors Letters最新文献_第4页

Soil Moisture Estimation Using Thermal Image and Ambient Temperature 利用热图像和环境温度估算土壤湿度

IF 2.2

IEEE Sensors Letters Pub Date : 2025-04-01 DOI: 10.1109/LSENS.2025.3556571

Apra Gupta;S Janardhanan;Shaunak Sen

引用次数: 0

Evaluation of a Multiaxial Optical-Based Shear Sensor Using a Multilayer Perceptron Artificial Neural Network Model 基于多层感知器人工神经网络模型的多轴光学剪切传感器评价

IF 2.2

IEEE Sensors Letters Pub Date : 2025-03-31 DOI: 10.1109/LSENS.2025.3556311

Austin J. Mohler;Michael McGeehan;Keat Ghee Ong;Michael Hahn

{"title":"Evaluation of a Multiaxial Optical-Based Shear Sensor Using a Multilayer Perceptron Artificial Neural Network Model","authors":"Austin J. Mohler;Michael McGeehan;Keat Ghee Ong;Michael Hahn","doi":"10.1109/LSENS.2025.3556311","DOIUrl":"https://doi.org/10.1109/LSENS.2025.3556311","url":null,"abstract":"Use of tactile shear sensors is increasing, particularly in assistive devices. For example, shear force sensors can monitor forces between a residual limb and prosthetic socket that can result in discomfort, pain, or tissue breakdown. Previous work described a multiaxial shear sensor based on optoelectronic coupling between a broad-spectrum light-emitting diode and a photodiode with bandpass filters corresponding to red, green, and blue (RGB), and broad visible spectrum wavelengths. Shearing is detected based on changes in intensity at specific wavelengths when broad-spectrum light is reflected off a specified color pattern. The goal of this study was to develop a two-output multilayer perceptron (MLP) artificial neural network (ANN) approach for modeling the relationship between the four sensor outputs (RGB and broad-spectrum light) and shear displacement. Shear data from the sensor were collected by displacing in 1-mm increments on a modified computerized numerical control positioning stage for a total range of ±10 mm in the X (medial-lateral) and Y (anterior-posterior) directions. This process was repeated 10 times for a total (<italic>n) of 1100 datapoints. A custom hyperparameter tuning algorithm was used to find optimal hyperparameters for the MLP-ANN model. The MLP-ANN algorithm outputs resulted in an <italic>R2 of <italic>X = 0.99 and <italic>Y = 0.99, and RMSE of <italic>X = 0.072 mm and <italic>Y = 0.11 mm. The final averaged 10-fold cross-validation score of both coordinates was 99.16% using randomized 80:20 (training:test) data partitions. The MLP algorithm demonstrated higher average accuracy than comparable single output algorithms reported previously.","PeriodicalId":13014,"journal":{"name":"IEEE Sensors Letters","volume":"9 5","pages":"1-4"},"PeriodicalIF":2.2,"publicationDate":"2025-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143839905","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

Development of Graphite-Based Flexible and Biodegradable Sensor for Tunable Filtration and Human–Machine Interaction 用于可调过滤和人机交互的石墨基柔性可生物降解传感器的研制

IF 2.2

IEEE Sensors Letters Pub Date : 2025-03-31 DOI: 10.1109/LSENS.2025.3556570

Sai Aravind;Adarsh Nigam;Amit Kumar Goyal

{"title":"Development of Graphite-Based Flexible and Biodegradable Sensor for Tunable Filtration and Human–Machine Interaction","authors":"Sai Aravind;Adarsh Nigam;Amit Kumar Goyal","doi":"10.1109/LSENS.2025.3556570","DOIUrl":"https://doi.org/10.1109/LSENS.2025.3556570","url":null,"abstract":"In this work, a novel method for creating integrated <italic>RC filters using pencil-on-paper (PoP) technology has been proposed using office paper and graphite pencil. We showcase a sustainable and cost-effective approach for fabricating tunable high-pass and low-pass filters by using different graphite concentrations on standard office paper. The proposed design integrates an interdigitated capacitor and a rectangular resistor into a single element. The experimental results indicate that the proposed structure exhibits distinct resistance values that range from 4.8 to 112 k<inline-formula><tex-math>$Omega$</tex-math></inline-formula>, showing its widening tunable possibility. Furthermore, the fabricated filter exhibits classical <italic>RC-circuit characteristics, which are shown by the charging–discharge and frequency-dependent behavior. This also shows distinct cutoff frequencies of 43 and 120 kHz for low- and high-graphite concentrations, respectively. Further, the device's capability to be used for human–machine interface (HMI) is presented. This study promotes sustainable electronics by offering a straightforward and simple replacement for traditional <italic>RC filters and removing the requirement for standard discrete components. This method appears promising for use in disposable electronics, HMIs, and other fields that seek economical, eco-friendly electronic components.","PeriodicalId":13014,"journal":{"name":"IEEE Sensors Letters","volume":"9 5","pages":"1-4"},"PeriodicalIF":2.2,"publicationDate":"2025-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143845498","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

Gas Sensor for Ammonia and Nitrogen Oxides Made of ALD-Grown MoS2 由ald生长的MoS2制成的氨和氮氧化物气体传感器

IF 2.2

IEEE Sensors Letters Pub Date : 2025-03-31 DOI: 10.1109/LSENS.2025.3555498

Rahel-Manuela Neubieser;Luca Guido Weckelmann;Marvin Michel;Michael Unruh;David Zanders;Aleksander Kostka;Anjana Devi;Anton Grabmaier

{"title":"Gas Sensor for Ammonia and Nitrogen Oxides Made of ALD-Grown MoS2","authors":"Rahel-Manuela Neubieser;Luca Guido Weckelmann;Marvin Michel;Michael Unruh;David Zanders;Aleksander Kostka;Anjana Devi;Anton Grabmaier","doi":"10.1109/LSENS.2025.3555498","DOIUrl":"https://doi.org/10.1109/LSENS.2025.3555498","url":null,"abstract":"Since the discovery of graphene, 2D materials are in the focus of research for new applications. With the advantages of light weight and flexibility, 2D materials, especially the famous group of transition metal dichalcogenides pave the way toward a new generation of sensing devices. A most practical fashion to realize such 2D material-based sensing devices is their implementation in transistor setups that allow photocurrent detection or chemically resistive sensing. Until now, gas sensing devices based on MoS2 are still in research but not used commercially. This work presents two versions of a process for fabricating sensor elements with MoS2 films as a sensitive layer. The use of a low-temperature atomic layer deposition process as deposition technology for MoS2 thin films allows the fabrication of sensor elements that can easily be integrated in industrial scale. Furthermore, the developed devices are investigated regarding their performance to NO2 and NH3 at room temperature.","PeriodicalId":13014,"journal":{"name":"IEEE Sensors Letters","volume":"9 5","pages":"1-4"},"PeriodicalIF":2.2,"publicationDate":"2025-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10945715","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143848825","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

A Single-Channel Radar With Two Matching Filters Based on Time Modulated Array 基于时调制阵列的双匹配滤波器单通道雷达

IF 2.2

IEEE Sensors Letters Pub Date : 2025-03-31 DOI: 10.1109/LSENS.2025.3554700

Anjie Cao;Xiaonan Zhao;Jingfeng Chen;Yu Xia;Xianling Liang;Ronghong Jin

引用次数: 0

Collective Optimization of Synthesis and Printing for Improved Performance of ZnO Nanowires Based Large-Area Printed Sensors 基于ZnO纳米线的大面积印刷传感器的合成和印刷综合优化

IF 2.2

IEEE Sensors Letters Pub Date : 2025-03-28 DOI: 10.1109/LSENS.2025.3555528

Fengyuan Liu;Dhayalan Shakthivel;Adamos Christou;Leandro Lorenzelli;Ravinder Dahiya

{"title":"Collective Optimization of Synthesis and Printing for Improved Performance of ZnO Nanowires Based Large-Area Printed Sensors","authors":"Fengyuan Liu;Dhayalan Shakthivel;Adamos Christou;Leandro Lorenzelli;Ravinder Dahiya","doi":"10.1109/LSENS.2025.3555528","DOIUrl":"https://doi.org/10.1109/LSENS.2025.3555528","url":null,"abstract":"ZnO nanowires (NWs) form an important building block for various types of sensors and field-effect transistors. However, owing to the known variability of ZnO structure morphologies, it is challenging to obtain ZnO NWs alone by using synthesis processes such as vapor phase transport. To address this challenge, we have performed a series of NW synthesis studies and discovered that it is difficult to eliminate ZnO nanoflakes during the growth stage. By optimizing the synthesis and printing method together, it is possible to reduce considerably the size and density of undesirable structures, such as printed flakes, to a level where they would not bridge the contacts of the device and thus not affect the device's performance. As proof of concept, the ZnO NWs-based UV photodetectors were realized using the contact printing method. The developed devices show the photo-to-dark current ratio of 104, a rise time of ∼3.1 s, and a decay time of 8.6 s. The removal of flakes contributes to the low level of dark current, which is critical to low power consumption. The presented results provide a promising route for ZnO NWs ensembles based large area sensing for applications such as electronic skin for humanoids, and more.","PeriodicalId":13014,"journal":{"name":"IEEE Sensors Letters","volume":"9 5","pages":"1-4"},"PeriodicalIF":2.2,"publicationDate":"2025-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143830518","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

Stator Interturn Fault Detection in BLDC Motors: A Signal-Processing-Based Method 无刷直流电机定子转间故障检测：一种基于信号处理的方法

IF 2.2

IEEE Sensors Letters Pub Date : 2025-03-27 DOI: 10.1109/LSENS.2025.3555389

Mohammad Amin Jarrahi;Ahmad Jafari;Vahid Abolghasemi;Jawad Faiz

引用次数: 0

High-Speed Volumetric Capture for Vibration Propagation in the Human Body 人体振动传播的高速体积捕获

IF 2.2

IEEE Sensors Letters Pub Date : 2025-03-27 DOI: 10.1109/LSENS.2025.3555391

Toma Mori;Feiyue Wang;Kohei Shimasaki;Idaku Ishii

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

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