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Detecting depression from Internet behaviors by time-frequency features 期刊论文
Web Intelligence, 2019, 页码: 199–208
Authors:  Changye Zhu a, Baobin Li;  Ang Li;  Tingshao Zhu
Adobe PDF(518Kb)  |  Favorite  |  View/Download:49/0  |  Submit date:2019/10/31
Internet behaviors  feature selection  depression detection  time-frequency analysis  
Identifying Emotions from Non-Contact Gaits Information Based on Microsoft Kinects 期刊论文
IEEE TRANSACTIONS ON AFFECTIVE COMPUTING, 2018, 卷号: 9, 期号: 4, 页码: 585-591
Authors:  Li, Baobin;  Zhu, Changye;  Li, Shun;  Zhu, Tingshao
Favorite  |  View/Download:125/0  |  Submit date:2019/01/13
Emotion  gait  joints  Microsoft Kinect  time-frequency analysis  discrete fourier transform  
Predicting Depression from Internet Behaviors by Timefrequency Features 会议论文
2016 IEEE/WIC/ACM INTERNATIONAL CONFERENCE ON WEB INTELLIGENCE (WI 2016), Omaha, NE, OCT 13-16, 2016
Authors:  Zhu, CY (Zhu, Changye);  Li, BB (Li, Baobin);  Li, A (Li, Ang);  Zhu, TS (Zhu, Tingshao)
Favorite  |  View/Download:30/0  |  Submit date:2018/08/24
Emotion recognition using Kinect motion capture data of human gaits 期刊论文
PEERJ, 2016, 卷号: 4
Authors:  Li, Shun;  Cui, Liqing;  Zhu, Changye;  Li, Baobin;  Zhao, Nan;  Zhu, Tingshao
Adobe PDF(4220Kb)  |  Favorite  |  View/Download:78/0  |  Submit date:2016/11/14
Emotion recognition  Affective computing  Gait  Machine learning  Kinect