情感唤起电影中基于眼睛的情感识别

2013 International Winter Workshop on Brain-Computer Interface (BCI) Pub Date : 2013-04-23 DOI:10.1109/IWW-BCI.2013.6506629

Mi-Sook Park, Hyeon-seok Oh, Hoyeon Jeong, J. Sohn

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引用次数: 18

摘要

很难用自主神经系统的反应模式来划分愤怒、恐惧和惊讶情绪，因为这三种情绪表现出相似的效价和唤醒维度。本研究的目的是利用脑电图信号对三种情绪进行分类。利用三种脑电特征进行线性判别分析(LDA)，平均识别准确率为66.3%。这些发现表明，三种情绪能够成功地分类基于脑电图信号。

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Eeg-based emotion recogntion during emotionally evocative films

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.

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2013 International Winter Workshop on Brain-Computer Interface (BCI)

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