2020 IEEE Sensors Applications Symposium (SAS)最新文献_第3页

Euclidean Distance based Loss Function for Eye-Gaze Estimation 基于欧氏距离的人眼注视估计损失函数

2020 IEEE Sensors Applications Symposium (SAS) Pub Date : 2020-03-01 DOI: 10.1109/SAS48726.2020.9220051

Bu Sung Lee, Romphet Phattharaphon, Seanglidet Yean, Jigang Liu, Manoj Shakya

引用次数: 4

Context-Aware Sensor Adaption of a Radar and Time-of-Flight Based Perception Platform 基于雷达和飞行时间感知平台的环境感知传感器自适应

2020 IEEE Sensors Applications Symposium (SAS) Pub Date : 2020-03-01 DOI: 10.1109/SAS48726.2020.9220073

Josef Steinbaeck, Andreas Strasser, C. Steger, E. Brenner, G. Holweg, N. Druml

引用次数: 2

Adaptive Automatic Controller for Swing Assist by Pneumatic Artificial Muscle 气动人工肌肉摆动辅助的自适应自动控制器

2020 IEEE Sensors Applications Symposium (SAS) Pub Date : 2020-03-01 DOI: 10.1109/SAS48726.2020.9220061

Seanglidet Yean, M. Tada, Haruki Toda, Bu-Sung Lee, Y. Kurita

引用次数: 1

Sensor Fusion for Analysis of Gait under Cognitive Load: Deep Learning Approach 认知负荷下传感器融合步态分析:深度学习方法

2020 IEEE Sensors Applications Symposium (SAS) Pub Date : 2020-03-01 DOI: 10.1109/SAS48726.2020.9220046

Abdullah S. Alharthi, S. Yunas, K. Ozanyan

{"title":"Sensor Fusion for Analysis of Gait under Cognitive Load: Deep Learning Approach","authors":"Abdullah S. Alharthi, S. Yunas, K. Ozanyan","doi":"10.1109/SAS48726.2020.9220046","DOIUrl":"https://doi.org/10.1109/SAS48726.2020.9220046","url":null,"abstract":"Human mobility requires substantial cognitive resources, thus elevated complexity in the navigated environment instigates gait deterioration due to naturally limited cognitive load capacity. This work uses deep learning methods for 116 sensors fusion to study the effects of cognitive load on human gait of healthy subjects. We demonstrate classifications, achieving 86% precision with Convolutional Neural Networks (CNN), of normal gait as well as 15 subjects’ gait under two types of cognitive demanding tasks. Floor sensors capturing multiples of up to 4 uninterrupted steps were utilized to harvest the raw gait spatiotemporal signals, based on the ground reaction force (GRF). A Layer-Wise Relevance Propagation (LRP) technique is proposed to interpret the CNN prediction in terms of relevance to standard events in the gait cycle. LRP projects the model predictions back to the input gait spatiotemporal signal, to generate a \"heat map\" over the original training set, or an unknown sample classified by the model. This allows valuable insight into which parts of the gait spatiotemporal signal have the heaviest influence on the gait classification and consequently, which gate events are mostly affected by cognitive load.","PeriodicalId":223737,"journal":{"name":"2020 IEEE Sensors Applications Symposium (SAS)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134474981","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: 4

An IoT-based Discrete Time Markov Chain Model for Analysis and Prediction of Indoor Air Quality Index 基于物联网的离散时间马尔可夫链模型用于室内空气质量指数分析与预测

2020 IEEE Sensors Applications Symposium (SAS) Pub Date : 2020-03-01 DOI: 10.1109/SAS48726.2020.9220077

Krati Rastogi, Anurag Barthwal, Divya Lohani, D. Acharya

引用次数: 7

A Comprehensive Study of Performance-Autonomy Trade-off on Smart Connected Glasses 智能互联眼镜的性能-自主性权衡综合研究

2020 IEEE Sensors Applications Symposium (SAS) Pub Date : 2020-03-01 DOI: 10.1109/SAS48726.2020.9220041

Alexis Arcaya Jordan, A. Pegatoquet, A. Castagnetti

引用次数: 1

CIG based Stress Identification Method for Maize Crop using UAV based Remote Sensing 基于CIG的玉米作物无人机遥感应力识别方法

2020 IEEE Sensors Applications Symposium (SAS) Pub Date : 2020-03-01 DOI: 10.1109/SAS48726.2020.9220016

Ajay Kumar, M. Taparia, P. Rajalakshmi, Wei Guo, Balaji Naik B, B. Marathi, U. Desai

引用次数: 3

Design of Low Cost Programmable LED Lighting System for Smart Buildings 智能建筑低成本可编程LED照明系统的设计

2020 IEEE Sensors Applications Symposium (SAS) Pub Date : 2020-03-01 DOI: 10.1109/SAS48726.2020.9220038

S. Abeysekera, V. Kalavally, Y. Kuang, Melanie Ooi Po-Leen

引用次数: 0

IoT Enabled Low Cost Air Quality Sensor 支持物联网的低成本空气质量传感器

2020 IEEE Sensors Applications Symposium (SAS) Pub Date : 2020-03-01 DOI: 10.1109/SAS48726.2020.9220079

Tyrel Glass, Sharafat Ali, Baden Parr, J. Potgieter, F. Alam

{"title":"IoT Enabled Low Cost Air Quality Sensor","authors":"Tyrel Glass, Sharafat Ali, Baden Parr, J. Potgieter, F. Alam","doi":"10.1109/SAS48726.2020.9220079","DOIUrl":"https://doi.org/10.1109/SAS48726.2020.9220079","url":null,"abstract":"Air pollution poses significant risks to environment and health. Air quality monitoring stations are often confined to a small number of locations due to the high cost of the monitoring equipment. They provide a low fidelity picture of the air quality in the city; local variations are overlooked. However, recent developments in low cost sensor technology and wireless communication systems like Internet of Things (IoT) provide an opportunity to use arrayed sensor networks to measure air quality, in real time, at a large number of locations. This paper reports the development of a novel low cost sensor node that utilizes cost-effective electrochemical sensors to measure Carbon Monoxide (CO) and Nitrogen Dioxide (NO2) concentrations and an infrared sensor to measure Particulate Matter (PM) levels. The node can be powered by either solar-recharged battery or mains supply. It is capable of long-range, low power communication over public or private LoRaWAN IoT network and short-range high data rate communication over Wi-Fi. The developed sensor nodes were co-located with an accurate reference CO sensor for field calibration. The low cost sensors’ data shows strong correlation with the data collected from the reference sensor. Offset and gain calibration further improves the quality of the sensor data.","PeriodicalId":223737,"journal":{"name":"2020 IEEE Sensors Applications Symposium (SAS)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130577656","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: 12

Indium Tin Oxide Films Based pH Concentration Sensor Fabrication and Verification Using Pulsed UV Laser Patterning Technology 基于氧化铟锡薄膜的pH浓度传感器制作及脉冲紫外激光成像技术验证

2020 IEEE Sensors Applications Symposium (SAS) Pub Date : 2020-03-01 DOI: 10.1109/SAS48726.2020.9220064

C. Ding, Ching-Ching Yang, Chin-Lin Kuo, Y. Hsieh, Chih-Chung Yang, Kuo-Cheng Huang, W. Hsiao

{"title":"Indium Tin Oxide Films Based pH Concentration Sensor Fabrication and Verification Using Pulsed UV Laser Patterning Technology","authors":"C. Ding, Ching-Ching Yang, Chin-Lin Kuo, Y. Hsieh, Chih-Chung Yang, Kuo-Cheng Huang, W. Hsiao","doi":"10.1109/SAS48726.2020.9220064","DOIUrl":"https://doi.org/10.1109/SAS48726.2020.9220064","url":null,"abstract":"A novel pH value detection method was developed in this paper. A 10 μL droplet prepared by buffer solution (pH = 1.2 to pH = 10) was injected to the sensing area (i.e. designed interdigitated ITO electrode), and the resistance variation of the electrode was recorded to build up the model of pH concentration detection. The result indicated that the interdigitated electrode pattern with a line width of 500 µm and a line pitch of 100 µm was the most sensitive under various pH conditions. In addition, for the acid solution and alkali solution, when the interdigitated electrode pattern with a line width of 100 µm and a line pitch of 500 µm was more sensitive in the acid environment, whereas the interdigitated electrode pattern with a line width of 500 µm and a line pitch of 100 µm can be applied in the alkaline environment due to its great sensitivity. During the pH value monitoring, the response time of resistance changing was below 3 seconds to reach the steady-state resistance in all various pH conditions, and the correlation coefficient was over 0.9 validated by a quadratic regression in both acid and alkaline sensing verification.","PeriodicalId":223737,"journal":{"name":"2020 IEEE Sensors Applications Symposium (SAS)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116796141","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