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
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;
Conference_Titel :
Advanced Computational Intelligence (ICACI), 2015 Seventh International Conference on
Conference_Location :
Wuyi
Print_ISBN :
978-1-4799-7257-9
DOI :
10.1109/ICACI.2015.7184734
