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Emotion recognition using Kinect motion capture data of human gaits
Li, Shun1,2; Cui, Liqing1,2; Zhu, Changye3; Li, Baobin3; Zhao, Nan1; Zhu, Tingshao1
2016-09-15
Source PublicationPEERJ
ISSN2167-8359
SubtypeArticle
Volume4
AbstractAutomatic emotion recognition is of great value in many applications, however, to fully display the application value of emotion recognition, more portable, non-intrusive, inexpensive technologies need to be developed. Human gaits could reflect the walkers emotional state, and could be an information source for emotion recognition. This paper proposed a novel method to recognize emotional state through human gaits by using Microsoft Kinect, a low-cost, portable, camera-based sensor. Fifty-nine participants gaits under neutral state, induced anger and induced happiness were recorded by two Kinect cameras, and the original data were processed through joint selection, coordinate system transformation, sliding window gauss filtering, differential operation, and data segmentation. Features of gait patterns were extracted from 3-dimentional coordinates of 14 main body joints by Fourier transformation and Principal Component Analysis (PCA). The classifiers NaiveBayes, RandomForests, LibSVM and SMO (Sequential Minimal Optimization) were trained and evaluated, and the accuracy of recognizing anger and happiness from neutral state achieved 80.5% and 75.4%. Although the results of distinguishing angry and happiness states were not ideal in current study, it showed the feasibility of automatically recognizing emotional states from gaits, with the characteristics meeting the application requirements.
KeywordEmotion recognition Affective computing Gait Machine learning Kinect
DOI10.7717/peerj.2364
Indexed BySCI ; SSCI
Language英语
Funding OrganizationNational Basic Research Program of China(2014CB744600) ; Key Research Program of Chinese Academy of Sciences (CAS)(KJZD-EWL04) ; CAS Strategic Priority Research Program(XDA06030800) ; Scientific Foundation of Institute of Psychology, CAS(Y4CX143005)
WOS Research AreaScience & Technology - Other Topics
WOS SubjectMultidisciplinary Sciences
WOS IDWOS:000384144100002
WOS HeadingsScience & Technology
WOS KeywordHUMAN-COMPUTER INTERACTION ; MICROSOFT KINECT ; INFORMATION ; MECHANISMS ; MOVEMENTS ; VALIDITY ; PATTERNS ; MOOD
Citation statistics
Cited Times:5[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.psych.ac.cn/handle/311026/20544
Collection社会与工程心理学研究室
Affiliation1.Chinese Acad Sci, Inst Psychol, Beijing, Peoples R China
2.China Elect Corp, Res Inst 6, Beijing, Peoples R China
3.Univ Chinese Acad Sci, Sch Comp & Control, Beijing, Peoples R China
Recommended Citation
GB/T 7714
Li, Shun,Cui, Liqing,Zhu, Changye,et al. Emotion recognition using Kinect motion capture data of human gaits[J]. PEERJ,2016,4.
APA Li, Shun,Cui, Liqing,Zhu, Changye,Li, Baobin,Zhao, Nan,&Zhu, Tingshao.(2016).Emotion recognition using Kinect motion capture data of human gaits.PEERJ,4.
MLA Li, Shun,et al."Emotion recognition using Kinect motion capture data of human gaits".PEERJ 4(2016).
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