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Inner Emotion Recognition Using Multi Bio-Signals
- Shin, Jinho;
- Maeng, Junho;
- Kim, Deok-Hwan
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SCOPUS
10초록
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
EEG; EMG; Emotion Classification; EOG; Inner Emotion Recognition; Support Vector Machine
- 제목
- Inner Emotion Recognition Using Multi Bio-Signals
- 저자
- Shin, Jinho; Maeng, Junho; Kim, Deok-Hwan
- 발행일
- 2018
- 유형
- Conference paper
- 저널명
- 2018 IEEE International Conference on Consumer Electronics - Asia, ICCE-Asia 2018