Discriminating affective states in music induction environment using forehead bioelectric signals

Forehead bioelectric signals are reliable and rich communication channels for emotion recognition in cognitive studies. In this paper, we explored the effects of two different music induction environments on multichannel forehead bioelectric signals. Pleasant and irritating emotions were induced by playing two different types of music that had different specifications according to the Arousal-Valence emotional space. Simultaneously, the bioelectric signals from three physical channels were recorded and filtered to extract entropy of Alpha and EMG sub-bands over 256 msec time slots. By analyzing results using the Wilcoxon test, it was shown that Alpha and EMG sub-bands are significant data channels for emotion discrimination.