Adaptive Multi-Domain EEG Feature Fusion with Augmented Machine Learning Framework for Four-Class Emotion Recognition
EEG based Emotion recognition has gained a lot of interest in the domain of Affective Computing, Healthcare and Human-Computer Interaction. Emotion classification in EEG signals remains difficult, though, because of their nonlinearity, noise and dependence on the specific person. In this paper, we suggest an Adaptive M...