A Comprehensive Interaction in Multiscale Multichannel EEG Signals for Emotion Recognition
Yiquan Guo,
Bowen Zhang,
Xiaomao Fan
et al.
Abstract:Electroencephalogram (EEG) is the most preferred and credible source for emotion recognition, where long-short range features and a multichannel relationship are crucial for performance because numerous physiological components function at various time scales and on different channels. We propose a cascade scale-aware adaptive graph convolutional network and cross-EEG transformer (SAG-CET) to explore the comprehensive interaction between multiscale and multichannel EEG signals with two novel ideas. First, to m… Show more
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