Inner Emotion Recognition Using Multi Bio-Signals

Citations

SCOPUS

10

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. © 2018 IEEE.

키워드

EEGEMGEmotion ClassificationEOGInner Emotion RecognitionSupport Vector Machine
제목
Inner Emotion Recognition Using Multi Bio-Signals
저자
Shin, JinhoMaeng, JunhoKim, Deok-Hwan
DOI
10.1109/ICCE-ASIA.2018.8552152
발행일
2018
유형
Conference paper
저널명
2018 IEEE International Conference on Consumer Electronics - Asia, ICCE-Asia 2018