Abstract

Kwang Shin Park*, Hyun Choi, Kuem Ju Lee, Jae Yun Lee, Kwang Ok An and Eun Ju Kim

We obtained EEG (electroencephalogram) data from 34 healthy subjects while they were watching emotion-inducing videos and we also developed a real-time emotion monitoring system based on the resulting data. When analyzed from the left and right asymmetric EEG data in each emotion state as compared to the rest state (p emotion was to extract emotion indicators/indices from the EEG signals detected in the human scalp and develop a real-time emotion monitor showing emotional states of people, so that they can express their thoughts and feelings, even if they are passive.