EEG(Electroencephalogram) based emotion analysis according to visual stimulus

초록

In this paper, we analyze the emotional changes based on EEG(Electroencephalogram) signal and the artifacts from the experimental environments according to the visual stimulation. We know that laboratory temperature, laboratory noise, posture, and eye movement should be minimized to remove artifacts, and the desired EEG waveform can be obtained using various filters we measured the activity of alpha, beta, and gamma waves of two subject in terms of ten target images. Experimental results show that alpha wave occurs in happiness, beta wave occurs in confusion, and gamma wave occurs in disgust and nervous emotion. In the case of sadness, three waves occurs together.

제목
EEG(Electroencephalogram) based emotion analysis according to visual stimulus
저자
KIM DEOKHWAN
학회명
ICNGC2017b The 3rd International Conference on Next Generation Computing 2017
개최지
SHU-TE University, Kaohsiung, Taiwan
학회 개최일
2017-12-21 ~ 2017-12-23