2019 IEEE SENSORS最新文献_第10页

Coarse-to-Fine Adaptive Illumination Hard-Adjustment for Vision Inspection System Under Uncertain Imaging Conditions 不确定成像条件下视觉检测系统粗精自适应照度硬调节

2019 IEEE SENSORS Pub Date : 2019-10-01 DOI: 10.1109/SENSORS43011.2019.8956629

Fei Chang, Yunqiang Duan, Min Liu, Mingyu Dong

{"title":"Coarse-to-Fine Adaptive Illumination Hard-Adjustment for Vision Inspection System Under Uncertain Imaging Conditions","authors":"Fei Chang, Yunqiang Duan, Min Liu, Mingyu Dong","doi":"10.1109/SENSORS43011.2019.8956629","DOIUrl":"https://doi.org/10.1109/SENSORS43011.2019.8956629","url":null,"abstract":"High-quality image acquisition under uncertain imaging conditions (such as uneven and varied illuminations, various viewpoints and different object distances, etc.) is a very challenging task. However, the imaging quality of industrial vision inspection system is vital to subsequent image processing, especially for those challenging detection tasks, such as tiny defect inspection of paint car-body surfaces. In order to overcome the challenge of image acquisition due to uncertain imaging conditions, a two-stage adaptive illumination adjustment method is proposed to handle the uncertainty caused by diversities of lighting, viewpoint and object distance. Our algorithm framework has been implemented and applied to the mobile inspection system deployed in a car painting factory for tiny defect detection of paint car-body surfaces. The efficiency and effectiveness of our method has been validated by the actual industrial application. As a result, the proposed coarse-to-fine framework can be viewed as an adaptive hard-adjustment solution for industrial vision inspection system under uncertain imaging conditions.","PeriodicalId":6710,"journal":{"name":"2019 IEEE SENSORS","volume":"44 1","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87333583","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

Muscular Activity Monitoring and Surface Electromyography (sEMG) with Graphene Textiles 石墨烯织物的肌肉活动监测和表面肌电图(sEMG)

2019 IEEE SENSORS Pub Date : 2019-10-01 DOI: 10.1109/SENSORS43011.2019.8956801

Ozberk Ozturk, M. Yapici

引用次数: 9

Calibration-Free Electrical Quantification of Single Molecules Using Nanopore Digital Counting 使用纳米孔数字计数的单分子免校准电定量

2019 IEEE SENSORS Pub Date : 2019-10-01 DOI: 10.1109/SENSORS43011.2019.8956734

Reza Nouri, Zifan Tang, W. Guan

{"title":"Calibration-Free Electrical Quantification of Single Molecules Using Nanopore Digital Counting","authors":"Reza Nouri, Zifan Tang, W. Guan","doi":"10.1109/SENSORS43011.2019.8956734","DOIUrl":"https://doi.org/10.1109/SENSORS43011.2019.8956734","url":null,"abstract":"Nanopore sensor conceptually represents an ideal single molecule counting device due to its unique partitioning-free, label-free electronic sensing. Existing theories and experiments have shown that sample concentration is proportional to the molecule translocation rate. However, a detailed nanopore geometry and size characterization or a calibration curve of concentration standards are often required for quantifying the unknown sample. In this work, we proposed and validated a calibration-free nanopore single molecule digital counting method for isolated molecule quantification. With the background ions as the in-situ references, the molecule translocation rates can be normalized to the ion translocation rates (baseline current). This in-situ reference alleviates the requirement for knowing the nanopore geometry and size or generating a calibration curve. In recognition of this effect, we developed a quantitative model for molecule quantification without the need for prior knowledge of experimental conditions such as nanopore geometry, size, and applied voltage. This model was experimentally validated for different nanopores and DNA molecules with different sizes. We anticipate this calibration-free digital counting approach would provide a new avenue for nanopore-based molecule sensing.","PeriodicalId":6710,"journal":{"name":"2019 IEEE SENSORS","volume":"77 1","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91096656","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

Flexible Humidity Sensor Based on Electrochemically Polymerized Polypyrrole 基于电化学聚合聚吡咯的柔性湿度传感器

2019 IEEE SENSORS Pub Date : 2019-10-01 DOI: 10.1109/SENSORS43011.2019.8956740

Qi Zhao, X. Qian, Xiaohao Wang, Liwei Lin

引用次数: 0

Timing Skew Compensation Methods for CMOS SPAD Line Sensors Used for Raman Spectroscopy 用于拉曼光谱的CMOS SPAD线传感器的时序偏差补偿方法

2019 IEEE SENSORS Pub Date : 2019-10-01 DOI: 10.1109/SENSORS43011.2019.8956897

T. Talala, I. Nissinen

引用次数: 4

Gesture Classification with Low-Cost Capacitive Sensor Array for Upper Extremity Rehabilitation 基于低成本电容式传感器阵列的上肢康复手势分类

2019 IEEE SENSORS Pub Date : 2019-10-01 DOI: 10.1109/SENSORS43011.2019.8956862

Haoyan Liu, E. Sanchez, J. Parkerson, Alexander Nelson

{"title":"Gesture Classification with Low-Cost Capacitive Sensor Array for Upper Extremity Rehabilitation","authors":"Haoyan Liu, E. Sanchez, J. Parkerson, Alexander Nelson","doi":"10.1109/SENSORS43011.2019.8956862","DOIUrl":"https://doi.org/10.1109/SENSORS43011.2019.8956862","url":null,"abstract":"Machine Learning and artificial intelligence play major roles in understanding human activity through various classification and regression tasks. However, for many lowresource devices, high computation cost resulting from the construction of AI models may limit their applications. To that end, this work explores gesture recognition through a low-cost capacitive sensor matrix overlayed on a rehabilitation activity table. For gesture recognition, a convolutional long short-term memory (C-LSTM) neural network structure is applied and hyper-parameters are varied to determine what resources are necessary to perform classification tasks. The 8 X 8 mutual capacitive sensor array (CSA) is constructed with low-cost copper adhesive. The designed capacitive sensors capture hand motions performed by patients during rehabilitative exercise. The motions cause changes in the electric field that is quantified through sampling the changing capacitance between the copper tape electrodes. An MSP430 MCU computes the capacitance-todigital conversion at a 50 Hz sampling rate. To identify low computation cost models for the C-LSTM neural network, we evaluate different numbers of capacitor sensors, kernels, convolutional layers, and hidden nodes. Six subjects performed 1200 gestures, and the accuracy metrics are calculated using fivefold cross-validation.","PeriodicalId":6710,"journal":{"name":"2019 IEEE SENSORS","volume":"1 1","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74515826","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: 3

Low Power Embedded Gesture Recognition Using Novel Short-Range Radar Sensors 基于新型近距离雷达传感器的低功耗嵌入式手势识别

2019 IEEE SENSORS Pub Date : 2019-10-01 DOI: 10.1109/SENSORS43011.2019.8956617

M. Eggimann, Jonas Erb, Philipp Mayer, M. Magno, L. Benini

引用次数: 8

An Improved Simultaneously Magnetic Actuation and Localization Method based on Magnetic Sensor Array 一种改进的基于磁传感器阵列的同步磁致动与定位方法

2019 IEEE SENSORS Pub Date : 2019-10-01 DOI: 10.1109/SENSORS43011.2019.8956945

Q. Shi, Min Wang, Shuang Song, M. Meng

引用次数: 3

Wearable system based on piezoresistive sensors for monitoring bowing technique in musicians 基于压阻式传感器的可穿戴式音乐家弓形技术监测系统

2019 IEEE SENSORS Pub Date : 2019-10-01 DOI: 10.1109/SENSORS43011.2019.8956586

J. D. Tocco, C. Massaroni, N. Stefano, D. Formica, E. Schena

引用次数: 3

Crumpled Carbon Nanotube Thin Film Heaters for High Sensitivity Hydrogen Sensing 用于高灵敏度氢传感的折叠碳纳米管薄膜加热器

2019 IEEE SENSORS Pub Date : 2019-10-01 DOI: 10.1109/SENSORS43011.2019.8956523

Jeonhyeong Park, I. Jang, Hoe-Joon Kim

引用次数: 0