Emotion recognition of physiological signals based on adaptive hierarchical genetic algorithm and circular strategy

doi:10.3778/j.issn.1002-8331.2010.01.032

Computer Engineering and Applications ›› 2010, Vol. 46 ›› Issue (1): 103-105.DOI: 10.3778/j.issn.1002-8331.2010.01.032

• 数据库、信号与信息处理 • Previous Articles Next Articles

Emotion recognition of physiological signals based on adaptive hierarchical genetic algorithm and circular strategy

HAO Min，LIU Guang-yuan

School of Electronic and Information Engineering，Southwest University，Chongqing 400715，China

Received:2008-12-30 Revised:2009-03-06 Online:2010-01-01 Published:2010-01-01
Contact: HAO Min

用分层循环遗传算法去识别生理信号情感状态

郝敏，刘光远

西南大学电子信息工程学院，重庆 400715

通讯作者: 郝敏

Abstract

Abstract: For the problem of emotion recognition of physiological signals，the paper presents an introduction to adaptive hierarchical genetic algorithm.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 got from the experiments to recognize the emotion states is effective.

Key words: genetic algorithm, emotion recognition, physiological signals, feature selection, circular strategy

摘要： 针对生理信号的情感识别问题，采用自适应分层式遗传算法方法对生理信号进行特征选择，能有效地解决特征组合优化问题。实验仿真表明，可以得到有效地特征组合来进行生理信号情感状态识别。

关键词: 遗传算法, 情感识别, 生理信号, 特征选择, 循环策略

CLC Number:

TP301.6

HAO Min，LIU Guang-yuan. Emotion recognition of physiological signals based on adaptive hierarchical genetic algorithm and circular strategy[J]. Computer Engineering and Applications, 2010, 46(1): 103-105.

郝敏，刘光远. 用分层循环遗传算法去识别生理信号情感状态[J]. 计算机工程与应用, 2010, 46(1): 103-105.

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Emotion recognition of physiological signals based on adaptive hierarchical genetic algorithm and circular strategy

用分层循环遗传算法去识别生理信号情感状态

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