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作 者:DU Ruoyu BIAN Yucai BAI Zhiyan ZHU Yingying
机构地区:[1]College of Geographic and Biologic Information,Nanjing University of Posts and Telecommunications,Nanjing 210023,Jiangsu,China [2]Smart Health Big Data Analysis and Location Services Engineering Laboratory of Jiangsu Province,Nanjing 210023,Jiangsu,China
出 处:《Wuhan University Journal of Natural Sciences》2020年第2期162-168,共7页武汉大学学报(自然科学英文版)
基 金:Supported by the National Natural Science Foundation for Young Scholars of China(1603198);the Natural Science Foundation for Young Scholars of Jiangsu Province(BK20160918)。
摘 要:In order to find out the special cognitive emotional information to reach good accuracy in the recognition of anger emotions, the brain emotional oscillatory activity induced by relaxation and anger affective pictures is investigated in the amplitude measurement. A visual evoked affective experiment is designed and carried out to collect the electroencephalogram(EEG)data labeled with anger and relaxation emotion states. Twenty-one healthy college students(female 9, male 12) are employed to stimulate emotion by different affective pictures. Event-Related Spectral Perturbation(ERSP) is used to discover the pronounced features of anger tendency prediction in the time-frequency domain. ERSP maps exhibit that there is a difference between the female and male group, which is statistically significant within the 150-250 ms and 350-450 ms time range of alpha band. The male group is more susceptible to anger than female group, while the female group is faster in emotional regulation than the male group.These feature values could be used to identify the tendency of angry emotion, which can provide certain reference basis for further research on the predict the tendency of aggressive behavior.
关 键 词:EEG ANGER emotion recognition ERSP
分 类 号:R318.04[医药卫生—生物医学工程]
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