Li, Qing*;Yang, Zongkai;Liu, Sanya;Dai, Zhicheng;Liu, Yang
通讯作者：
Li, Qing
作者机构：
[Yang, Zongkai; Li, Qing; Dai, Zhicheng; Liu, Sanya] Huazhong Normal Univ, Natl Engn Res Ctr E Learning, Wuhan, Hubei, Peoples R China.
[Liu, Yang] Wuhan Informat Ctr, Wuhan, Hubei, Peoples R China.
通讯机构：
[Li, Qing] H
Huazhong Normal Univ, Natl Engn Res Ctr E Learning, Wuhan, Hubei, Peoples R China.
语种：
英文
期刊：
2015 SEVENTH INTERNATIONAL CONFERENCE ON ADVANCED COMPUTATIONAL INTELLIGENCE (ICACI)
年：
2015
页码：
378-382
会议名称：
International Conference on Advanced Computational Intelligence
会议时间：
MAR 27-29, 2015
会议地点：
Fujian, PEOPLES R CHINA
会议主办单位：
[Li, Qing;Yang, Zongkai;Liu, Sanya;Dai, Zhicheng] Huazhong Normal Univ, Natl Engn Res Ctr E Learning, Wuhan, Hubei, Peoples R China.^[Liu, Yang] Wuhan Informat Ctr, Wuhan, Hubei, Peoples R China.
出版地：
345 E 47TH ST, NEW YORK, NY 10017 USA
出版者：
IEEE
ISBN：
978-1-4799-7259-3
机构署名：
本校为第一且通讯机构
院系归属：
国家数字化学习工程技术研究中心
摘要：
Emotion recognition from physiological signals has aroused great concern recently as its objective. In this paper, the recognition system from physiological signals is introduced, and important topics on emotion models, databases for analysis, feature extraction and selection methods, different classification techniques and performance issues are studied. Finally, the research challenges and trend of emotion recognition from physio...
