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Eeg-based emotion recogntion during emotionally evocative films

Authors :
Jin-Hun Sohn
Mi-Sook Park
Hoyeon Jeong
Hyeong-Seok Oh
Source :
2013 International Winter Workshop on Brain-Computer Interface (BCI).
Publication Year :
2013
Publisher :
IEEE, 2013.

Abstract

It is difficult to classify anger, fear, and surprise emotions with autonomic nervous system response patterns, because these three emotions show similar levels of valence and arousal dimensions. The purpose of this study was to classify three emotions by using EEG signals. Linear discriminant analysis (LDA) using three types of EEG characteristics showed that the mean recognition accuracy was 66.3%. These findings reveal that three emotions were successfully able to be classified based on EEG signals.

Details

Database :
OpenAIRE
Journal :
2013 International Winter Workshop on Brain-Computer Interface (BCI)
Accession number :
edsair.doi...........3b90ef3cb7bdc5229c85cbe25eeb3cba
Full Text :
https://doi.org/10.1109/iww-bci.2013.6506629