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Emotion Detection Using Kinect 3D Facial Points
Zhang, Zhan1; Cui, Liqing2; Liu, Xiaoqian1,2; Zhu, Tingshao1,2
First AuthorZhang, Zhan
2016
Conference Name2016 IEEE/WIC/ACM International Conference on Web Intelligence
Source PublicationProceedings - 2016 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2016
Conference DateOct.13-16 2016
Conference PlaceOmaha, NE, United states
PublisherInstitute of Electrical and Electronics Engineers Inc.
Contribution Rank2
Abstract

With the development of pattern recognition and artificial intelligence, emotion recognition based on facial expression has attracted a great deal of research interest. Facial emotion recognition are mainly based on facial images. The commonly used datasets are created artificially, with obvious facial expression on each facial images. Actually, emotion is a complicated and dynamic process. If a person is happy, probably he/she may not keep obvious happy facial expression all the time. Practically, it is important to recognize emotion correctly even if the facial expression is not clear. In this paper, we propose a new method of emotion recognition, i.e., to identify three kinds of emotion: sad, happy and neutral. We acquire 1347 3D facial points by Kinect V2.0. Key facial points are selected and feature extraction is conducted. Principal Component Analysis (PCA) is employed for feature dimensionality reduction. Several classical classifiers are used to construct emotion recognition models. The best performance of classification on all, male and female data are 70%, 77% and 80% respectively.

Funding OrganizationAssociation for Computing Machinery (ACM); IEEE Computer Society Technical Committee on Intelligent Informatics (IEEE CS TCII); University of Nebrask
KeywordDimensionality reduction Dynamic process Emotion detection Emotion recognition Research interests Facial emotions Facial Expressions Kinect
DOI10.1109/WI.2016.0063
ISBN9781509044702
Indexed ByEI
Language英语
Citation statistics
Document Type会议论文
Identifierhttp://ir.psych.ac.cn/handle/311026/25731
Collection社会与工程心理学研究室
Affiliation1.School of Computer and Control Engineering, University of Chinese Academy of Sciences, Beijing, China
2.Institute of Psychology, Chinese Academy of Sciences, Beijing, China
Recommended Citation
GB/T 7714
Zhang, Zhan,Cui, Liqing,Liu, Xiaoqian,et al. Emotion Detection Using Kinect 3D Facial Points[C]:Institute of Electrical and Electronics Engineers Inc.,2016.
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