Automated Feature Extraction on AsMap for Emotion Classification using EEG. (arXiv:2201.12055v1 [cs.LG])

Web: http://arxiv.org/abs/2201.12055

Emotion recognition using EEG has been widely studied to address the
challenges associated with affective computing. Using manual feature extraction
method on EEG signals result in sub-optimal performance by the learning models.
With the advancements in deep learning as a tool for automated feature
engineering, in this work a hybrid of manual and automatic feature extraction
method has been proposed. The asymmetry in the different brain regions are
captured in a 2-D vector, termed as AsMap from the differential entropy …

arxiv classification emotion