Analysis of mental stress recognition and rating based on Hidden Markov Model - 文章详情页

作者：

Li, Xin (Li, Xin.) | Chen, Zetao (Chen, Zetao.) | Liang, Qiongyu (Liang, Qiongyu.) | Yang, Yadan (Yang, Yadan.)

收录：

EI Scopus

摘要：

A　mental　stress　recognition　model　that　adapts　to　human　recognition　process　is　designed　after　analyzing　the　generation　of　mental　stress　in　this　paper.　Features　extraction　and　stress　quantification　are　achieved　by　the　model　with　a　stress　evaluation,　which　considers　affective　computing　theory,　based　on　the　Hidden　Markov　Model.　The　fusion　parameter　dataset　of　stress　is　built　with　features　acquired　by　physiological　parameters　of　stressed　individuals.　The　model　parameters　are　acquired　after　training　the　model　by　the　Baum-Welch　algorithm.　In　applying　the　model,　we　collected　17　training　samples　and　22　test　samples　from　the　volunteers＇　physiological　parameters　when　motivated　by　stress　sources.　The　stress　levels　of　all　samples　were　determined　by　the　questionnaire.　After　training　the　model,　the　accuracy　rate　of　the　model　for　the　test　sample　reached　96.4%.

关键词：

Physiological models Physiology Computation theory Hidden Markov models

作者机构：

[ 1 ] [Li, Xin]Institute of Biomedical Engineering, Yanshan University, Qinhuangdao , China
[ 2 ] [Li, Xin]College of Life Science and Bio-Engineering, Beijing University of Technology, Beijing , China
[ 3 ] [Chen, Zetao]Institute of Biomedical Engineering, Yanshan University, Qinhuangdao , China
[ 4 ] [Liang, Qiongyu]Institute of Biomedical Engineering, Yanshan University, Qinhuangdao , China
[ 5 ] [Yang, Yadan]College of Life Science and Bio-Engineering, Beijing University of Technology, Beijing , China

通讯作者信息：

[li, xin]college of life science and bio-engineering, beijing university of technology, beijing , china;;[li, xin]institute of biomedical engineering, yanshan university, qinhuangdao , china

电子邮件地址：

查看成果更多字段

成果类型
所属机构

所有年份指定年份从至