Extracting a Novel Emotional EEG Topographic Map Based on a Stacked Autoencoder Network

Figure 11

(a) Images obtained from ten features extracted from EEG signal (power for four sub-bands and mean) and images obtained from SAETM during viewing ten music videos. (b) Images obtained from ten features extracted from EEG signal (standard deviation, zero-crossing rate, fractal dimension, entropy, and correlation dimension) and images obtained from SAETM during the viewing period of ten music videos.

(a)

(b)