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2009 WRI World Congress on Computer Science and Information Engineering
Emotion Recognition of Physiological Signals Based on Adaptive Hierarchical Genetic Algorithm
Los Angeles, California USA
March 31-April 02
ISBN: 978-0-7695-3507-4
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. It’s shown in the simulation that using the features obtained from the experimental simulation to recognize the emotion states is effective.
Index Terms:
emotion recognition, physiological signals, adaptive hierarchical genetic algorithm, feature selection
Citation:
Liu Guang-yuan, Hao Min, "Emotion Recognition of Physiological Signals Based on Adaptive Hierarchical Genetic Algorithm," csie, vol. 4, pp.670-674, 2009 WRI World Congress on Computer Science and Information Engineering, 2009
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