PSYCH OpenIR  > 社会与工程心理学研究室
Emotion Detection Using Kinect 3D Facial Points
Zhang, Zhan1; Cui, Liqing2; Liu, Xiaoqian1,2; Zhu, Tingshao1,2
第一作者Zhang, Zhan
2016
会议名称2016 IEEE/WIC/ACM International Conference on Web Intelligence
会议录名称Proceedings - 2016 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2016
会议日期Oct.13-16 2016
会议地点Omaha, NE, United states
出版者Institute of Electrical and Electronics Engineers Inc.
产权排序2
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.

会议主办者Association for Computing Machinery (ACM); IEEE Computer Society Technical Committee on Intelligent Informatics (IEEE CS TCII); University of Nebrask
关键词Dimensionality reduction Dynamic process Emotion detection Emotion recognition Research interests Facial emotions Facial Expressions Kinect
DOI10.1109/WI.2016.0063
ISBN号9781509044702
收录类别EI
语种英语
引用统计
文献类型会议论文
条目标识符http://ir.psych.ac.cn/handle/311026/25731
专题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]:Institute of Electrical and Electronics Engineers Inc.,2016.
条目包含的文件
文件名称/大小 文献类型 版本类型 开放类型 使用许可
zhangzhan.pdf(254KB)会议论文 开放获取CC BY-NC-SA请求全文
个性服务
推荐该条目
保存到收藏夹
查看访问统计
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Zhang, Zhan]的文章
[Cui, Liqing]的文章
[Liu, Xiaoqian]的文章
百度学术
百度学术中相似的文章
[Zhang, Zhan]的文章
[Cui, Liqing]的文章
[Liu, Xiaoqian]的文章
必应学术
必应学术中相似的文章
[Zhang, Zhan]的文章
[Cui, Liqing]的文章
[Liu, Xiaoqian]的文章
相关权益政策
暂无数据
收藏/分享
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。