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People generally agree that emotion processing differs between male and female. However, current hypothesis of sex differences needs more objective evidence and quantitative assessment. In this paper, we investigate the sex difference in classifying ve emotions from eletroencephalograph and eye movement signals. We adopt two neural-network-based clas-si ers to objectively investigate sex differences from different perspectives. From experimental results, we nd the following three observations: (1) a general higher accuracy of same-sex strategy suggests sex-speci c factors have in uence on emotion classi cation; (2) both blink duration and frequency differ from female to male and they are negatively correlated under different emotional states; and (3) there are larger differences of brain activities in the Theta, Alpha, and Beta bands between male and female for disgust, sad, and neutral emotions.
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Bao et al. (2019) studied this question.
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