Identifying Emotions from Non-Contact Gaits Information Based on Microsoft Kinects
文献类型：期刊论文
| 作者 | Li, Baobin1; Zhu, Changye1; Li, Shun2; Zhu, Tingshao3
|
| 刊名 | IEEE TRANSACTIONS ON AFFECTIVE COMPUTING
 |
| 出版日期 | 2018-10-01 |
| 卷号 | 9期号:4页码:585-591 |
| 关键词 | Emotion gait joints Microsoft Kinect time-frequency analysis discrete fourier transform |
| ISSN号 | 1949-3045 |
| DOI | 10.1109/TAFFC.2016.2637343 |
| 通讯作者 | Li, Baobin(libb@ucas.ac.cn) |
| 英文摘要 | Automatic emotion recognition from gaits information is discussed in this paper, which has been investigated widely in the fields of human-machine interaction, psychology, psychiatry, behavioral science, etc. The gaits information is non-contact, collected from Microsoft kinects, and contains 3-dimensional coordinates of 25 joints per person. These joints coordinates vary with the time. So, by the discrete Fourier transform and statistic methods, some time-frequency features related to neutral, happy and angry emotion are extracted and used to establish the classification model to identify these three emotions. Experimental results show this model works very well, and time-frequency features are effective in characterizing and recognizing emotions for this non-contact gait data. In particular, by the optimization algorithm, the recognition accuracy can be further averagely improved by about 13.7 percent. |
| WOS关键词 | RECOGNITION |
| 资助项目 | NSFC[11301504] ; National High-tech RD Program of China[2013AA01A606] ; National Basic Research Program of China (973 Program)[2014CB744600] ; Key Research Program of CAS[KJZD-EW-L04] ; [XDA06030800] |
| WOS研究方向 | Computer Science |
| 语种 | 英语 |
| WOS记录号 | WOS:000451918200015 |
| 出版者 | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
| 资助机构 | NSFC ; National High-tech RD Program of China ; National Basic Research Program of China (973 Program) ; Key Research Program of CAS |
| 源URL | [http://ir.psych.ac.cn/handle/311026/27832]  |
| 专题 | 心理研究所_社会与工程心理学研究室 |
| 通讯作者 | Li, Baobin |
| 作者单位 | 1.Univ Chinese Acad Sci, Sch Comp & Control, Beijing 100190, Peoples R China 2.China Elect Corp, Res Inst 6, Beijing 100083, Peoples R China 3.Chinese Acad Sci, Inst Psychol, Beijing 100864, Peoples R China |
| 推荐引用方式 GB/T 7714 | Li, Baobin,Zhu, Changye,Li, Shun,et al. Identifying Emotions from Non-Contact Gaits Information Based on Microsoft Kinects[J]. IEEE TRANSACTIONS ON AFFECTIVE COMPUTING,2018,9(4):585-591. |
| APA | Li, Baobin,Zhu, Changye,Li, Shun,&Zhu, Tingshao.(2018).Identifying Emotions from Non-Contact Gaits Information Based on Microsoft Kinects.IEEE TRANSACTIONS ON AFFECTIVE COMPUTING,9(4),585-591. |
| MLA | Li, Baobin,et al."Identifying Emotions from Non-Contact Gaits Information Based on Microsoft Kinects".IEEE TRANSACTIONS ON AFFECTIVE COMPUTING 9.4(2018):585-591. |
入库方式： OAI收割
来源：心理研究所
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