Inner Emotion Recognition using Multi-Bio-Signals

초록

This paper proposes inner emotion recognition method using multi bio-signal which combines EEG (Electroencephalogram), EMG (Electromyography) and EOG (Electrooculogram) signals. EEG signal was used for recognizing inner emotion, EMG and EOG signals for removing artifact. The acquired data were processed and five emotions were classified using SVM(Support Vector Machine) in terms of arousal and valence, respectively. The experimental results show that the recognition rate of using multimodal bio-signals is 16.8% higher than that of using only EEG signal.

제목
Inner Emotion Recognition using Multi-Bio-Signals
저자
KIM DEOKHWAN
학회명
Third Intl. Conference on IEEE/IEIE ICCE-ASIA 2018
개최지
제주 라마다 플라자 호텔
학회 개최일
2018-06-24 ~ 2018-06-26