Integrated Modeling for In-Depth EEG Based Emotional State Analysis via Convolutional-Transformer Fusion
Noman Ali,
A. S Kang,
Saurabh Himral
Abstract:This study introduces a hybrid model designed for the predic- tion of emotional states derived from electroencephalogram (EEG) data, employing an amalgamation of convolutional and trans- former layers. The architectural framework of the model is metic- ulously structured to facilitate concurrent assimilation of local pat- terns and long-range dependencies inherent in EEG data, thereby augmenting its discernment of nuanced emotional experiences. The investigation presented herein undertakes a comprehensive expl… Show more
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