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Computer Science and Information Engineering, World Congress on (2009)
Los Angeles, California USA
Mar. 31, 2009 to Apr. 2, 2009
ISBN: 978-0-7695-3507-4
pp: 670-674
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.
emotion recognition, physiological signals, adaptive hierarchical genetic algorithm, feature selection

L. Guang-yuan and H. Min, "Emotion Recognition of Physiological Signals Based on Adaptive Hierarchical Genetic Algorithm," 2009 WRI World Congress on Computer Science and Information Engineering, CSIE(CSIE), Los Angeles, CA, 2009, pp. 670-674.
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