Research on genetic algorithm based on emotion recognition with physiological signals

doi:10.3778/j.issn.1002-8331.2009.02.067

Computer Engineering and Applications ›› 2009, Vol. 45 ›› Issue (2): 233-236.DOI: 10.3778/j.issn.1002-8331.2009.02.067

• 工程与应用 • Previous Articles Next Articles

Research on genetic algorithm based on emotion recognition with physiological signals

NIU Xiao-wei,LIU Guang-yuan

1.School of Applied Science and Technology，Chongqing Three Gorges University，Chongqing 404000，China
2.School of Electronic and Information Engineering，Southwest University，Chongqing 400715，China

Received:2007-12-29 Revised:2008-03-17 Online:2009-01-11 Published:2009-01-11
Contact: NIU Xiao-wei

生理信号情感识别的遗传算法研究

牛晓伟,刘光远

1.重庆三峡学院应用技术学院，重庆 404000
2.西南大学电子信息工程学院，重庆 400715

通讯作者: 牛晓伟

Abstract

Abstract: Regarded the emotion recognition as a combinational mode optimization problem，affective feature extraction is acquired from the physiological signal：ECG，EMG，SC，RSP，the genetic algorithm and the nearest neighbor algorithm is used to searching the optimal feature subset which represents exactly the relevant affective states：joy，anger，sadness，pleasure.The experiment shows that the method is feasible and effective.

Key words: genetic algorithm, the nearest neighbor algorithm, optimal emotion feature subset

摘要： 将情感识别看成一个组合模式优化问题，从生理信号ECG，EMG，SC，RSP中抽取情感特征，遗传算法和最近邻算法相结合尝试找出最能“代表”某一情感状态joy，anger，sadness，pleasure的最优情感特征组合模式，仿真实验表明，该方法是可行并且有效的。

关键词: 遗传算法, 最近邻算法, 最优情感特征组合

NIU Xiao-wei,LIU Guang-yuan. Research on genetic algorithm based on emotion recognition with physiological signals[J]. Computer Engineering and Applications, 2009, 45(2): 233-236.

牛晓伟,刘光远. 生理信号情感识别的遗传算法研究[J]. 计算机工程与应用, 2009, 45(2): 233-236.

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Research on genetic algorithm based on emotion recognition with physiological signals

生理信号情感识别的遗传算法研究

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