Title :
Eeg-based emotion recogntion during emotionally evocative films
Author :
Mi-Sook Park ; Hyeong-Seok Oh ; Hoyeon Jeong ; Jin-Hun Sohn
Author_Institution :
Dept. of Psychol., Chungnam Nat. Univ., Daejeon, South Korea
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.
Keywords :
electroencephalography; emotion recognition; medical signal processing; signal classification; EEG characteristics; EEG signals; EEG-based emotion recognition; LDA; anger emotion; arousal dimensions; autonomic nervous system response patterns; emotion classification; emotionally evocative film; fear emotion; linear discriminant analysis; mean recognition accuracy; surprise emotions; valence; Accuracy; Coherence; Electrodes; Electroencephalography; Emotion recognition; Feature extraction; Films; EEG; EEG asymmetry; brain coherence; emotion;
Conference_Titel :
Brain-Computer Interface (BCI), 2013 International Winter Workshop on
Conference_Location :
Gangwo
Print_ISBN :
978-1-4673-5973-3
DOI :
10.1109/IWW-BCI.2013.6506629
