DocumentCode
734161
Title
The study of emotion recognition from physiological signals
Author
Qing Li ; Zongkai Yang ; Sanya Liu ; Zhicheng Dai ; Yang Liu
Author_Institution
Nat. Eng. Res. Center For E-Learning, Huazhong Normal Univ., Wuhan, China
fYear
2015
fDate
27-29 March 2015
Firstpage
378
Lastpage
382
Abstract
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 physiological signals are discussed for future research.
Keywords
behavioural sciences computing; bioelectric potentials; emotion recognition; signal classification; classification techniques; emotion models; emotion recognition; feature extraction; physiological signals; selection methods; Classification algorithms; Databases; Electronic learning; Emotion recognition; Gold; Physiology; Transforms;
fLanguage
English
Publisher
ieee
Conference_Titel
Advanced Computational Intelligence (ICACI), 2015 Seventh International Conference on
Conference_Location
Wuyi
Print_ISBN
978-1-4799-7257-9
Type
conf
DOI
10.1109/ICACI.2015.7184734
Filename
7184734
Link To Document