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A method for stress detection based on FCM algorithm
Jiang M(姜鸣); Wang ZL(王哲龙)
作者部门机器人学研究室
会议名称2nd International Congress on Image and Signal Processing
会议日期October 17-19, 2009
会议地点Tianjin, China
会议主办者Tianjin University of Technology
会议录名称PROCEEDINGS OF THE 2009 2ND INTERNATIONAL CONGRESS ON IMAGE AND SIGNAL PROCESSING, VOLS 1-9
出版者IEEE
出版地NEW YORK
2009
页码1-5
收录类别EI ; CPCI(ISTP)
EI收录号20100212631547
WOS记录号WOS:000280804302254
产权排序2
ISBN号978-1-4244-4131-0
摘要A method based on fuzzy c-means (FCM) clustering algorithm is proposed to detect stress continuously in this study. The method calculates the exact stress value of each period and achieves a continuous stress curve. Biomedical signals used in this study were collected from drivers in a driving experience, and appropriate features are selected to form multi-dimensional feature-vectors. By using FCM algorithm, these feature-vectors are clustered to several clusters. Stress value of each period is calculated based on the membership degree between feature-vectors and clusters. The experience results by using signals acquired from some drivers' driving experiences show that the method may distinguish stress of different driving periods clearly, and the stress curve may give a direct-viewing of change of stress. ©2009 IEEE.
语种英语
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文献类型会议论文
条目标识符http://ir.sia.cn/handle/173321/20033
专题机器人学研究室
通讯作者Jiang M(姜鸣)
作者单位1.School of Electronic and Information Engineering, Dalian University of Technology, Dalian, China
2.Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China
推荐引用方式
GB/T 7714
Jiang M,Wang ZL. A method for stress detection based on FCM algorithm[C]//Tianjin University of Technology. NEW YORK:IEEE,2009:1-5.
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