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Title

Emotion Assessment : Arousal Evaluation Using EEG's and Peripheral Physiological Signals

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Published in Gunsel, B.; Jain, A.K.; Tekalp, A.M.; Sankur, B. Multimedia Content Representation, Classification and Security. Istanbul, Turkey - September 11-13, 2006 - Springer. 2006
Collection LNCS
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.
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Research groups Affective sciences
Computer Vision and Multimedia Laboratory
Multimodal Interaction Group
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CHANEL, Guillaume et al. Emotion Assessment : Arousal Evaluation Using EEG's and Peripheral Physiological Signals. In: Gunsel, B.; Jain, A.K.; Tekalp, A.M.; Sankur, B. (Ed.). Multimedia Content Representation, Classification and Security. Istanbul, Turkey. [s.l.] : Springer, 2006. (LNCS) https://archive-ouverte.unige.ch/unige:21731

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Deposited on : 2012-07-03

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