A method for stress detection based on FCM algorithm

CORC > 沈阳自动化研究所 > 中国科学院沈阳自动化研究所 > 机器人学研究室

	A method for stress detection based on FCM algorithm
	Jiang M(姜鸣); Wang ZL(王哲龙)
	2009
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
页码	1-5
通讯作者	姜鸣
中文摘要	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.
收录类别	EI ; CPCI（ISTP）
产权排序	2
会议主办者	Tianjin University of Technology
会议录	PROCEEDINGS OF THE 2009 2ND INTERNATIONAL CONGRESS ON IMAGE AND SIGNAL PROCESSING, VOLS 1-9
会议录出版者	IEEE
会议录出版地	NEW YORK
语种	英语
ISBN号	978-1-4244-4131-0
WOS记录号	WOS:000280804302254
内容类型	会议论文
源URL	[http://ir.sia.cn/handle/173321/20033]
专题	沈阳自动化研究所_机器人学研究室
推荐引用方式 GB/T 7714	Jiang M,Wang ZL. A method for stress detection based on FCM algorithm[C]. 见:2nd International Congress on Image and Signal Processing. Tianjin, China. October 17-19, 2009.