DocumentCode
620258
Title
Emotion feature selection from physiological signals using tabu search
Author
Yujing Wang ; Jianlin Mo
Author_Institution
Dept. of Inf. Technol.2, Tianfu Coll. of SWUFE, Mianyang, China
fYear
2013
fDate
25-27 May 2013
Firstpage
3148
Lastpage
3150
Abstract
A method of feature selection based on tabu search is proposed for recognizing affective states (joy, anger, sadness, pleasure). After combining with knear neighbour classifier, the tabu search heuristic algorithm achieved good recognition performance in the affective states classification , obtained the robust feature subsets which belong to 4 physiological signals (ECG, EMG, SC, RSP). Simulation showed that it is feasible and effective to recognize emotion using tabu search algorithm.
Keywords
emotion recognition; pattern classification; search problems; ECG; EMG; RSP; SC; emotion feature selection; emotion recognition; k-near neighbour classifier; physiological signals; robust feature subsets; state classification; state recognition; tabu search heuristic algorithm; Educational institutions; Electrocardiography; Electromyography; Emotion recognition; Feature extraction; Physiology; Robustness; Emotion feature Recognition; Feature Selection; Physiological Signals; Tabu Search;
fLanguage
English
Publisher
ieee
Conference_Titel
Control and Decision Conference (CCDC), 2013 25th Chinese
Conference_Location
Guiyang
Print_ISBN
978-1-4673-5533-9
Type
conf
DOI
10.1109/CCDC.2013.6561487
Filename
6561487
Link To Document