Investigating Critical Frequency Bands and Channels for EEG-Based Emotion Recognition with Deep Neural Networks

Short summary

Deep belief networks (DBNs) identified critical EEG frequency bands and channels that achieved 86.65% accuracy in recognizing positive, neutral, and negative emotions, outperforming models using all 62 original channels.

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