Emotion detection using Kinect 3D facial points | |
Zhang Z.1; Cui L.2; Liu XQ(刘晓倩)2; Zhu T.2 | |
2016 | |
会议名称 | 2016 IEEE/WIC/ACM International Conference on Web Intelligence |
会议日期 | Oct.13-16 2016 |
通讯作者邮箱 | liuxiaoqian@psych.ac.cn ; tszhu@psych.ac.cn |
会议地点 | USA |
关键词 | Emotion recognition Facial expression Kinect |
通讯作者 | Xiaoqian Liu ; Tingshao Zhu |
英文摘要 | 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. |
收录类别 | 其他 |
语种 | 英语 |
内容类型 | 会议论文 |
源URL | [http://ir.psych.ac.cn/handle/311026/20898] |
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.中国科学院心理研究所 |
推荐引用方式 GB/T 7714 | Zhang Z.,Cui L.,Liu XQ,et al. Emotion detection using Kinect 3D facial points[C]. 见:2016 IEEE/WIC/ACM International Conference on Web Intelligence. USA. Oct.13-16 2016. |
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