Emotion assessment: arousal evaluation using EEG's and peripheral physiological signals

Authors:
Guillaume Chanel;Julien Kronegg;Didier Grandjean;Thierry Pun
Affiliations:
Computer Science Department, University of Geneva, Switzerland;Computer Science Department, University of Geneva, Switzerland;Swiss Center for Affective Sciences, University of Geneva, Switzerland;Computer Science Department, University of Geneva, Switzerland
Venue:
MRCS'06 Proceedings of the 2006 international conference on Multimedia Content Representation, Classification and Security
Year:
2006

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Abstract

The arousal dimension of human emotions is assessed from two different physiological sources: peripheral signals and electroencephalographic (EEG) signals from the brain. A complete acquisition protocol is presented to build a physiological emotional database for real participants. Arousal assessment is then formulated as a classification problem, with classes corresponding to 2 or 3 degrees of arousal. The performance of 2 classifiers has been evaluated, on peripheral signals, on EEG's, and on both. Results confirm the possibility of using EEG's to assess the arousal component of emotion, and the interest of multimodal fusion between EEG's and peripheral physiological signals.