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Emotion recognition from human gait features based on DCT transform
Xue, Penghui1; Li, Baobin1; Wang, Ning2; Zhu, Tingshao3
2019-08
通讯作者邮箱libb@ucas.ac.cn ; tszhu@psych.ac.cn
会议名称5th International Conference on Human Centered Computing, HCC 2019
会议录名称Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
页码511-517
会议日期August 5, 2019 - August 7, 2019
会议地点不详
出版者Springer
摘要

Emotion recognition is of great value in human-computer interaction, psychology, etc. Gait is an important pattern of emotion recognition. In this paper, 59 volunteer’s gait data with angry or happy emotion, have been collected by the aid of Microsoft Kinect. The gait data are treated as discrete time signals, and we extract a series of frequency features based on the discrete cosine transform. Simultaneously, we have established emotion recognizing models with SVM, the K-nearest neighbors, and decision tree. The best recognition rate can exceed 80%, which indicates that our proposed features are useful for recognizing emotions.

DOI10.1007/978-3-030-37429-7_51
ISBN号13:9783030374280
收录类别EI
语种英语
引用统计
被引频次:4[WOS]   [WOS记录]     [WOS相关记录]
文献类型会议论文
条目标识符http://ir.psych.ac.cn/handle/311026/31314
专题社会与工程心理学研究室
通讯作者Li, Baobin; Zhu, Tingshao
作者单位1.School of Computer Science and Technology, University of Chinese Academy of Sciences, Beijing
2.Institute of Psychology Chinese Academy of Sciences, Beijing
3.Beijing Institute of Electronics Technology and Application, Beijing
推荐引用方式
GB/T 7714
Xue, Penghui,Li, Baobin,Wang, Ning,et al. Emotion recognition from human gait features based on DCT transform[C]:Springer,2019:511-517.
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