Building an improved emotion recognition system for affective learning via brainwaves signals

Multiple studies show that emotions can be extracted from Electroencephalogram (EEG) signals. In order to achieve a high recognition rate, feature extraction techniques must be properly applied when working with brainwave signals. Of these techniques, the more commonly used are statistical features