DocumentCode
2635725
Title
Emotion Recognition of Physiological Signals Based on Adaptive Hierarchical Genetic Algorithm
Author
Guang-yuan, Liu ; Min, Hao
Author_Institution
Sch. of Electron. & Inf. Eng., Southwest Univ., Chongqing, China
Volume
4
fYear
2009
fDate
March 31 2009-April 2 2009
Firstpage
670
Lastpage
674
Abstract
For the problem of emotion recognition of physiological signals, an introduction to adaptive hierarchical genetic algorithm is put forward. With the help of feature selection to the physiological signals, the optimization problem can easily be solved. Itpsilas shown in the simulation that using the features obtained from the experimental simulation to recognize the emotion states is effective.
Keywords
emotion recognition; genetic algorithms; medical signal processing; adaptive hierarchical genetic algorithm; emotion recognition; optimization problem; physiological signals; Binary codes; Computational complexity; Computational intelligence; Computer science; Emotion recognition; Genetic algorithms; Genetic engineering; Psychology; Signal analysis; Size control; adaptive hierarchical genetic algorithm; emotion recognition; feature selection; physiological signals;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Science and Information Engineering, 2009 WRI World Congress on
Conference_Location
Los Angeles, CA
Print_ISBN
978-0-7695-3507-4
Type
conf
DOI
10.1109/CSIE.2009.120
Filename
5171080
Link To Document