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Emotion detection using Kinect 3D facial points
Zhang Z.1; Cui L.2; Liu XQ(刘晓倩)2; Zhu T.2; Xiaoqian Liu; Tingshao Zhu
2016
会议名称2016 IEEE/WIC/ACM International Conference on Web Intelligence
通讯作者邮箱liuxiaoqian@psych.ac.cn ; tszhu@psych.ac.cn
会议日期Oct.13-16 2016
会议地点USA
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. 

关键词Emotion recognition Facial expression Kinect
收录类别其他
语种英语
文献类型会议论文
条目标识符http://ir.psych.ac.cn/handle/311026/20898
专题社会与工程心理学研究室
通讯作者Xiaoqian Liu; Tingshao Zhu
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],2016.
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