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Title:: Analysis of the difference between three kinds of emotions based on EEG signals

Author(s):: CAO Yujie; GAO Yahan; GUO Guodong; Shanghai University of Medicine & Health Sciences,Shanghai 201318,China

Keywords:: Emotional distinction; Signal acquisition; Pretreatment; Characteristics; Power spectrum; Topographic map

摘要:: 本研究从情绪波段强度与功率地形分布两个角度对喜悦、愤怒和悲伤三种情绪的脑电特征进行了分析。通过14通道的神经设备采集16名受试者观看情绪诱发视频时的脑电数据，用自适应滤波对原始脑电数据进行预处理，分段出有效的目标信号进行特征分析。喜悦情绪下θ波和α波在大脑左前区提升明显；愤怒情绪下β波在大脑左前区提升明显；恐惧情绪下β波在大脑右前区提升明显。本研究将大脑前区与脑电不同波段能量变化结合在一起进行情绪对比，并总结其联系，以期能够为情绪识别技术的发展与应用有所贡献，并进一步提高情绪识别率。

Abstract:: We analyzed the EEG characteristics of joy, anger, and sadness from the two perspectives of emotional band intensity and power topographic distribution. The EEG data of 16 subjects watching the emotion-induced video through the 14-channel neural equipment were collect, the original EEG data was preprocessed by adaptive filtering, and the effective target signal was segmented for feature analysis. Theta and alpha waves in left anterior region of brain were significantly elevated in joy; the beta waves in left anterior region of brain were significantly elevated in anger; the beta waves in the right anterior region of brain were significantly elevated in fear. The anterior brain area and the energy changes of different bands of EEG were combined to compare emotions, and the relationship was summarized， in order to contribute to the development and application of emotion recognition technology, so that the emotion recognition rate can be further improved.