| 用分层循环遗传算法去识别生理信号情感状态 |
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| 引用本文： | 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. DOI: 10.3778/j.issn.1002-8331.2010.01.032 |
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| 作者姓名： | 郝敏 刘光远 |
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| 作者单位： | 西南大学 电子信息工程学院，重庆 400715 |
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| 基金项目： | 国家自然科学基金No.60873143;;西南大学国家重点学科基础心理学科研基金No.NKSF07003~~ |
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| 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。
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| 关 键 词： | 遗传算法 情感识别 生理信号 特征选择 循环策略 |
| 收稿时间： | 2008-12-30 |
| 修稿时间： | 2009-3-6 |
Emotion recognition of physiological signals based on adaptive hierarchical genetic algorithm and circular strategy |
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| 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. DOI: 10.3778/j.issn.1002-8331.2010.01.032 |
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| Authors: | HAO Min LIU Guang-yuan |
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| Affiliation: | School of Electronic and Information Engineering，Southwest University，Chongqing 400715，China |
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| 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. |
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| Keywords: | genetic algorithm emotion recognition physiological signals feature selection circular strategy |
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