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脑电信号中的频谱不对称指数特征与情绪识别

Characteristics of Spectral Asymmetry in EEG Signals and Emotion Recognition

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【作者】 焦凯强王湖斐郭茂田

【Author】 JIAO Kai-qiang;WANG Hu-fei;GUO Mao-tian;Institute of Physical Science and Engineering,Zhengzhou University;

【机构】 郑州大学物理工程学院

【摘要】 研究了脑电信号中的频谱不对称指数(SASI),采用国际标准图片刺激被试者诱发产生正、中和负性情绪并采集其脑电信号,依据后期正电位段具有特征性的特点[7],对来自不同脑区、电极的1 000~1 500 ms时间段内脑电信号选取后期正电位段进行处理分析,分别计算不同脑区分别处于正、中、负性情绪时脑电信号的平均SASI。结果显示,相比于中性情绪,处于负性情绪时的SASI明显偏大;处于正性情绪时的SASI明显偏小,尤其是在左颞区、右颞区和枕叶区其特征性更加明显,表明SASI可作为情绪种类识别的特征量之一,若与后期正电位特征量结合使用,有望显著提高情绪种类识别的准确率。

【Abstract】 The characteristics of the spectral asymmetry index( SASI) was discussed in the EEG signals. Using the images of the international emotional picture system to stimulate the positive,neutral and negative emotions and collect the EEG signals,according to the characteristics of late positive potential,The data of EEG signals from different brain regions and electrodes( segment 1 000 ~ 1 500 ms) were processed by choosing their late positive potential segment,and the average EEG signals’ spectral asymmetry index was calculated when subjects were in positive emotion,neutral emotion and negative emotion. The results showed that,compared to neutral emotion,the EEG signals’ spectral asymmetry index was significantly larger when subjects were in negative emotion Compared to neutral mood,the EEG signal spectral asymmetric index was significantly smaller when subjects were in positive emotion. The SASI had strong characteristics feature especially in left temporal,right temporal and occipital. It is suggested that SASI can be used as one of the characteristic features of emotions recognition,and it is expected that the accuracy of emotions recognition will be greatly improved by combining the characteristics of later positive potential.

  • 【文献出处】 科学技术与工程 ,Science Technology and Engineering , 编辑部邮箱 ,2018年17期
  • 【分类号】R318.04;TN911.7
  • 【被引频次】4
  • 【下载频次】333
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