Emotion Assessment: Arousal Evaluation Using EEG’s and Peripheral Physiological Signals | Zendy

Guillaume Chanel | Zendy; Julien Kronegg | Zendy; Didier Grandjean | Zendy; Thierry Pun | Zendy

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

Author(s) -

Guillaume Chanel,

Julien Kronegg,

Didier Grandjean,

Thierry Pun

Publication year - 2006

Publication title -

lecture notes in computer science

Language(s) - English

Resource type - Book series

SCImago Journal Rank - 0.249

H-Index - 400

eISSN - 1611-3349

pISSN - 0302-9743

ISBN - 3-540-39392-7

DOI - 10.1007/11848035_70

Subject(s) - arousal , electroencephalography , computer science , peripheral , artificial intelligence , speech recognition , pattern recognition (psychology) , cognitive psychology , neuroscience , psychology , operating system

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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