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计算机工程 ›› 2010, Vol. 36 ›› Issue (9): 168-170. doi: 10.3969/j.issn.1000-3428.2010.09.058

• 人工智能及识别技术 • 上一篇    下一篇

脑电信号在情感识别中的应用

陈 曾1,刘光远2   

  1. (1. 西南大学计算机与信息科学学院,重庆 400715;2. 西南大学电子信息工程学院,重庆 400715)
  • 收稿日期:1900-01-01 修回日期:1900-01-01 出版日期:2010-05-05 发布日期:2010-05-05

Application of EEG Signal in Emotion Recognition

CHEN Zeng1, LIU Guang-yuan2   

  1. (1. School of Computer and Information Science, Southwest University, Chongqing 400715;
    2. School of Electronic and Information Engineering, Southwest University, Chongqing 400715)
  • Received:1900-01-01 Revised:1900-01-01 Online:2010-05-05 Published:2010-05-05

摘要: 针对如何在情感识别中有效处理脑电信号和提取有用信息的问题,对实验采集的脑电信号进行小波包分解,通过对相关频段信号的重构,提取出脑电信号中能用于情感状态识别的β波节律,对其在不同情感状态下进行谱分析。仿真实验结果表明,将脑电信号中的β波节律用于情感状态识别是可行的。

关键词: 情感识别, 脑电信号, β波, 小波包变换

Abstract: Aiming at how to effectively deal with the ElectroEncephaloGram(EEG) signal and extract useful information, this paper decomposes the collection of experimental EEG with wavelet packet transform and reconstructs the relevant frequency band signal, thereby extracting β-wave rhythm from EEG signal which can be used to identify the emotional states, and analyses it in different emotional states with spectral analysis. Simulation results show that the β-wave rhythm in EEG signal used to identify the emotional states is feasible.

Key words: emotion recognition, ElectroEncephaloGram(EEG) signal, β-wave, wavelet packet transform

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