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
fDate :
March 31 2009-April 2 2009
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;
Conference_Titel :
Computer Science and Information Engineering, 2009 WRI World Congress on
Conference_Location :
Los Angeles, CA
Print_ISBN :
978-0-7695-3507-4
DOI :
10.1109/CSIE.2009.120
