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Conf Proc IEEE Eng Med Biol Soc. 2011;2011:6092-5. doi: 10.1109/IEMBS.2011.6091505.

Generalizations of the subject-independent feature set for music-induced emotion recognition.

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Department of Electrical Engineering, National Taiwan University, Taipei 10617, Taiwan.


Electroencephalogram (EEG)-based emotion recognition has been an intensely growing field. Yet, how to achieve acceptable accuracy on a practical system with as fewer electrodes as possible is less concerned. This study evaluates a set of subject-independent features, based on differential power asymmetry of symmetric electrode pairs [1], with emphasis on its applicability to subject variability in music-induced emotion classification problem. Results of this study have evidently validated the feasibility of using subject-independent EEG features to classify four emotional states with acceptable accuracy in second-scale temporal resolution. These features could be generalized across subjects to detect emotion induced by music excerpts not limited to the music database that was used to derive the emotion-specific features.

[Indexed for MEDLINE]

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