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Valence-arousal evaluation using physiological signals in an emotion recall paradigm

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Published in 2007 IEEE International Conference on Systems, Man and Cybernetics, SMC 2007 : proceedings. Montreal (Canada) - Oct 7-10 2007 - Institute of Electrical and Electronics Engineers ( IEEE ). 2007
Abstract The work presented in this paper aims at assessing human emotions using peripheral as well as electroencephalographic (EEG) physiological signals. Three specific areas of the valence-arousal emotional space are defined, corresponding to negatively excited, positively excited, and calm-neutral states. An acquisition protocol based on the recall of past emotional events has been designed to acquire data from both peripheral and EEG signals. Pattern classification is used to distinguish between the three areas of the valence-arousal space. The performance of two classifiers has been evaluated on different features sets: peripheral data, EEG data, and EEG data with prior feature selection. Comparison of results obtained using either peripheral or EEG signals confirms the interest of using EEG's to assess valence and arousal in emotion recall conditions.
Keywords Electroencephalographyemotion recognitionfeature extractionmedical signal processingneurophysiologypattern classification
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Research groups Computer Vision and Multimedia Laboratory
Multimodal Interaction Group
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CHANEL, Guillaume, ANSARI ASL, Karim, PUN, Thierry. Valence-arousal evaluation using physiological signals in an emotion recall paradigm. In: 2007 IEEE International Conference on Systems, Man and Cybernetics, SMC 2007 : proceedings. Montreal (Canada). [s.l.] : Institute of Electrical and Electronics Engineers ( IEEE ), 2007. https://archive-ouverte.unige.ch/unige:47741

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Deposited on : 2015-03-06

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