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Identifying Emotions from Non-Contact Gaits Information Based on Microsoft Kinects
Li, Baobin1; Zhu, Changye1; Li, Shun2; Zhu, Tingshao3
通讯作者Li, Baobin(libb@ucas.ac.cn)
2018-10-01
发表期刊IEEE TRANSACTIONS ON AFFECTIVE COMPUTING
ISSN1949-3045
卷号9期号:4页码:585-591
摘要Automatic emotion recognition from gaits information is discussed in this paper, which has been investigated widely in the fields of human-machine interaction, psychology, psychiatry, behavioral science, etc. The gaits information is non-contact, collected from Microsoft kinects, and contains 3-dimensional coordinates of 25 joints per person. These joints coordinates vary with the time. So, by the discrete Fourier transform and statistic methods, some time-frequency features related to neutral, happy and angry emotion are extracted and used to establish the classification model to identify these three emotions. Experimental results show this model works very well, and time-frequency features are effective in characterizing and recognizing emotions for this non-contact gait data. In particular, by the optimization algorithm, the recognition accuracy can be further averagely improved by about 13.7 percent.
关键词Emotion gait joints Microsoft Kinect time-frequency analysis discrete fourier transform
DOI10.1109/TAFFC.2016.2637343
收录类别SCI
语种英语
项目资助者NSFC ; National High-tech RD Program of China ; National Basic Research Program of China (973 Program) ; Key Research Program of CAS
资助项目NSFC[11301504] ; National High-tech RD Program of China[2013AA01A606] ; National Basic Research Program of China (973 Program)[2014CB744600] ; Key Research Program of CAS[KJZD-EW-L04] ; [XDA06030800]
WOS研究方向Computer Science
WOS类目Computer Science, Artificial Intelligence ; Computer Science, Cybernetics
WOS记录号WOS:000451918200015
出版者IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
关键词[WOS]RECOGNITION
引用统计
文献类型期刊论文
条目标识符http://ir.psych.ac.cn/handle/311026/27832
专题社会与工程心理学研究室
通讯作者Li, Baobin
作者单位1.Univ Chinese Acad Sci, Sch Comp & Control, Beijing 100190, Peoples R China
2.China Elect Corp, Res Inst 6, Beijing 100083, Peoples R China
3.Chinese Acad Sci, Inst Psychol, Beijing 100864, Peoples R China
推荐引用方式
GB/T 7714
Li, Baobin,Zhu, Changye,Li, Shun,et al. Identifying Emotions from Non-Contact Gaits Information Based on Microsoft Kinects[J]. IEEE TRANSACTIONS ON AFFECTIVE COMPUTING,2018,9(4):585-591.
APA Li, Baobin,Zhu, Changye,Li, Shun,&Zhu, Tingshao.(2018).Identifying Emotions from Non-Contact Gaits Information Based on Microsoft Kinects.IEEE TRANSACTIONS ON AFFECTIVE COMPUTING,9(4),585-591.
MLA Li, Baobin,et al."Identifying Emotions from Non-Contact Gaits Information Based on Microsoft Kinects".IEEE TRANSACTIONS ON AFFECTIVE COMPUTING 9.4(2018):585-591.
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