Emotion Detection Using Kinect 3D Facial Points | |
Zhang, Zhan1; Cui, Liqing2; Liu, Xiaoqian1,2![]() ![]() | |
2016 | |
会议日期 | Oct.13-16 2016 |
会议地点 | Omaha, NE, United states |
关键词 | Dimensionality reduction Dynamic process Emotion detection Emotion recognition Research interests Facial emotions Facial Expressions Kinect |
DOI | 10.1109/WI.2016.0063 |
英文摘要 | 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. |
产权排序 | 2 |
会议录 | Proceedings - 2016 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2016
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资助机构 | Association for Computing Machinery (ACM); IEEE Computer Society Technical Committee on Intelligent Informatics (IEEE CS TCII); University of Nebrask |
会议录出版者 | Institute of Electrical and Electronics Engineers Inc. |
语种 | 英语 |
ISBN号 | 9781509044702 |
内容类型 | 会议论文 |
源URL | [http://ir.psych.ac.cn/handle/311026/25731] ![]() |
专题 | 心理研究所_社会与工程心理学研究室 |
作者单位 | 1.School of Computer and Control Engineering, University of Chinese Academy of Sciences, Beijing, China 2.Institute of Psychology, Chinese Academy of Sciences, Beijing, China |
推荐引用方式 GB/T 7714 | Zhang, Zhan,Cui, Liqing,Liu, Xiaoqian,et al. Emotion Detection Using Kinect 3D Facial Points[C]. 见:. Omaha, NE, United states. Oct.13-16 2016. |
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