2016 Third International Conference on Computing Measurement Control and Sensor Network (CMCSN)最新文献

A Flexible and Wearable EEG Device 一种灵活可穿戴的脑电图设备

2016 Third International Conference on Computing Measurement Control and Sensor Network (CMCSN) Pub Date : 2016-05-20 DOI: 10.1109/CMCSN.2016.24

Ruei-Jie Chang, Chi-Rung Wu, Ke-Yi He, B. Lin

引用次数: 4

An Interactive Upper-Limb Post-Stroke Rehabilitation System Integrating BCI-based Attention Monitoring and Virtual Reality Feedback 基于脑机接口的注意力监测与虚拟现实反馈的上肢卒中后康复交互式系统

2016 Third International Conference on Computing Measurement Control and Sensor Network (CMCSN) Pub Date : 2016-05-20 DOI: 10.1109/CMCSN.2016.33

Bor-Shing Lin, Hsiu-Chi Hsu, G. Jan, Jean-Lon Chen

{"title":"An Interactive Upper-Limb Post-Stroke Rehabilitation System Integrating BCI-based Attention Monitoring and Virtual Reality Feedback","authors":"Bor-Shing Lin, Hsiu-Chi Hsu, G. Jan, Jean-Lon Chen","doi":"10.1109/CMCSN.2016.33","DOIUrl":"https://doi.org/10.1109/CMCSN.2016.33","url":null,"abstract":"In this study, an interactive upper-limb stroke rehabilitation system integrating motion tracking device (MTD), electroencephalogram (EEG) device, and virtual reality (VR) game is proposed to assist patients for performing upper-limb rehabilitation treatment and save the patients' rehabilitation information, such as hand movement trajectory and angle of wrist pronation and supination. During the treatment, the system creates the database with digitalized information to facilitate data analysis to assess the progress and effectiveness of patient rehabilitation. In this study, to enhance patient's interest in performing rehabilitation treatment by using the interactive VR game, and to real-time monitor the patient's attention through the EEG device. When the patient's attention is relatively lower, there will be visual and auditory stimulations. There are 12 post-stroke patients who are in Brunnstrong stage from the third to the fifth to participate in the clinical experiment of this study, and these patients were assigned to three groups (A to C). Group A is traditional rehabilitation (Control). Group B perform the interactive VR game using MTD. Group C perform the interactive VR game using MTD and BCI-based attention-monitoring EEG device. The results show that the rehabilitation effectiveness of group C is better than groups A and B.","PeriodicalId":153377,"journal":{"name":"2016 Third International Conference on Computing Measurement Control and Sensor Network (CMCSN)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128440119","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

A General Video Surveillance Framework for Animal Behavior Analysis 用于动物行为分析的通用视频监控框架

2016 Third International Conference on Computing Measurement Control and Sensor Network (CMCSN) Pub Date : 2016-05-20 DOI: 10.1109/CMCSN.2016.55

Thi Thi Zin, I. Kobayashi, P. Tin, H. Hama

{"title":"A General Video Surveillance Framework for Animal Behavior Analysis","authors":"Thi Thi Zin, I. Kobayashi, P. Tin, H. Hama","doi":"10.1109/CMCSN.2016.55","DOIUrl":"https://doi.org/10.1109/CMCSN.2016.55","url":null,"abstract":"This paper proposes a general intelligent video surveillance monitoring system to explore and examine some problems in animal behavior analysis particularly in cow behaviors. In this concern, farmers, animal health professionals and researchers have well recognized that analysis of changes in the behavioral patterns of cattle is an important factor for an animal health and welfare management system. Also, in today dairy world, farm sizes are growing larger and larger, as a result the attention time limits for individual animals smaller and smaller. Thus, video based monitoring system will become an emerging technology approaching to an era of intelligent monitoring system. In this context, image processing is a promising technique for such challenging system because it is relatively low cost and simple enough to implement. One of important issues in the management of group-housed livestock is to make early detection of abnormal behaviors of a cow. Particularly failure in detecting estrus in timely and accurate manner can be a serious factor in achieving efficient reproductive performance. Another aspect is concerned with health management to identify unhealthy or poor health such as lameness through analysis of measured motion data. Lameness is a one of the biggest health and welfare issue in modern intensive dairy farming. Although there has been a tremendous amount of methods for detecting estrus, still it needs to improve for achieving a more accurate and practical. Thus in this paper, a general intelligent video surveillance system framework for animal behavior analysis is proposed to be by using (i) various types of Background Models for target or targets extraction, (ii) Markov and Hidden Markov models for detection of various types of behaviors among the targets, (iii) Dynamic Programming and Markov Decision Making Process for producing output results. As an illustration, a pilot experiment will be performed to confirm the feasibility and validity of the proposed framework.","PeriodicalId":153377,"journal":{"name":"2016 Third International Conference on Computing Measurement Control and Sensor Network (CMCSN)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122542042","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: 16

Implementation of an Integrated Mobile Solar Power Monitoring System for Images and Battery Parameters 基于图像和电池参数的集成移动太阳能监测系统的实现

2016 Third International Conference on Computing Measurement Control and Sensor Network (CMCSN) Pub Date : 2016-05-20 DOI: 10.1109/CMCSN.2016.25

Ching-Chuan Wei, Chi-Han Yu, Lawrence Chiang, Hei-Ming Gong, Yung-Fa Huang

引用次数: 1

IoT-type Electric Fan: Remote-Controlled by Smart-Phone 物联网电风扇:智能手机远程控制

2016 Third International Conference on Computing Measurement Control and Sensor Network (CMCSN) Pub Date : 2016-05-20 DOI: 10.1109/CMCSN.2016.17

Weng-Chung Tsai, You-Jyun Shih, Ting-Ming Tsai

引用次数: 5

Design of a Sun Tracking System Based on the Brightest Point in Sky Image 基于天空图像中最亮点的太阳跟踪系统设计

2016 Third International Conference on Computing Measurement Control and Sensor Network (CMCSN) Pub Date : 2016-05-20 DOI: 10.1109/CMCSN.2016.26

Ching-Chuan Wei, Yu-Chang Song, Chuan-Bi Lin, Lawrence Chiang

{"title":"Design of a Sun Tracking System Based on the Brightest Point in Sky Image","authors":"Ching-Chuan Wei, Yu-Chang Song, Chuan-Bi Lin, Lawrence Chiang","doi":"10.1109/CMCSN.2016.26","DOIUrl":"https://doi.org/10.1109/CMCSN.2016.26","url":null,"abstract":"It is inevitable for human beings to face exhaustion of fossil energy. Finding an alternative energy source that can sustain global demand for energy is one of the most crucial and critical challenges faced by today's society. In addition, the air pollution caused by fossil energy such as particulate matter (PM 2.5) is becoming more substantial. As a result, solar energy is certainly an energy source worth exploring and utilizing because of the environmental protection. In this article, the camera of Raspberry pi was used as the main sensor, and Raspberry pi is the processor for processing images captured by the Camera. Colored images are then transformed into grey image through Python language and Open CV. Then through Gaussian Blur, the noises were removed. Then, we searches for the highest gray level pixels, which are the brightest spot in sky image. Therefore, it is logical to assume the location of brightest point as the location of sun. Finally, the location information was sent to two servo motors that are capable of moving both horizontally and vertically to track the sun. This article has successfully captured the brightest spot of the sun for tracking. In comparison with the existing methods of tracking the sun, such as Hough Transform, our method based on the brightest point in sky image remains accurate under various conditions such as sunny day, cloudy day and building shelter. In summary, this article shows the advantages of our method over traditional methods.","PeriodicalId":153377,"journal":{"name":"2016 Third International Conference on Computing Measurement Control and Sensor Network (CMCSN)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131186497","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: 2

A Novel Harmonic Field Based Method for Femoral Head Segmentation from Challenging CT Data 一种基于谐波场的复杂CT数据股骨头分割方法

2016 Third International Conference on Computing Measurement Control and Sensor Network (CMCSN) Pub Date : 2016-05-01 DOI: 10.1109/CMCSN.2016.38

Shijian Liu, Zheng Zou, San-Ding Luo, Shenghui Liao

引用次数: 4

A New Method for Identifying Users Interest for Personalized Recommendations 一种识别用户个性化推荐兴趣的新方法

2016 Third International Conference on Computing Measurement Control and Sensor Network (CMCSN) Pub Date : 2016-05-01 DOI: 10.1109/CMCSN.2016.15

Hendry, Yi-Jen Su, R. Chen

引用次数: 1

Information Dilution: Granule-Based Information Hiding in Table Data - A Case of Lenses Data Set in UCI Machine Learning Repository 信息稀释:表数据中基于颗粒的信息隐藏——以UCI机器学习存储库中的透镜数据集为例

2016 Third International Conference on Computing Measurement Control and Sensor Network (CMCSN) Pub Date : 2016-05-01 DOI: 10.1109/CMCSN.2016.28

H. Sakai, Chenxi Liu, M. Nakata

引用次数: 7

A Networked Multimedia Distributed Kiosk System for Commercial and Home Appliances 商用和家用电器的网络多媒体分布式Kiosk系统

2016 Third International Conference on Computing Measurement Control and Sensor Network (CMCSN) Pub Date : 2016-05-01 DOI: 10.1109/CMCSN.2016.42

Nong Si, Ke-bin Jia, Chang Xu

引用次数: 1