脑电信号与个人情绪状态关联性分析研究-计算机科学与探索.pdf

ISSN 1673-9418 CODEN JKYTA8 E-mail: fcst@vip. 163.com Journal of Frontiers of Computer Science and Technology 1673-9418/2017/ 11(05)-0794-08 Tel: +86-10 doi: 10.3778/j.issn. 1673-9418.1603055 脑电信号与个人情绪状态关联性分析研究* + 陈 萌 ，李幼军，刘 岩 北京工业大学 电子信息与控制工程学院，北京 100124 Analysis of Correlation Between EEG Signal and Personal Emotional State + CHEN Meng , LI Youjun, LIU Yan College of Electronic Information Control Engineering, Beijing University of Technology, Beijing 100124, China + Corresponding author: E-mail: Chenmeng0527@ 126.com CHEN Meng, LI Youjun, LIU Yan. Analysis of correlation between EEG signal and personal emotional state. Journal of Frontiers of Computer Science and Technology, 2017, 11(5) ：794-801. Abstract: People s emotion is a kind of comprehensive state whether objective things meet people own needs is closely associated with the physiological signal. The subjects POMS (profile of moods states) scales and the EEG (electroencephalogram) signals of resting state at the same period are collected to study the correlation between them. Wavelet transform is used to preprocess the original EEG signal. EMD (empirical mode decomposition) method is adopted to decompose the denoised EEG into IMFs (intrinsic mode functions). Volatility index is extracted from the IMFs as a feature. The EEG features and POMS scales are analyzed by Pearson correlation analysis. The POMS scale and EEG signals are recorded and analyzed in 8 subjects for a period of 7 days. The experiment shows that there exists a strong correlation between the EEG signal and the related components of the per