Multimedia Content Representation, Classification and Security

Volume 4105 of the series Lecture Notes in Computer Science pp 530-537

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

  • Guillaume ChanelAffiliated withComputer Science Department, University of Geneva
  • , Julien KroneggAffiliated withComputer Science Department, University of Geneva
  • , Didier GrandjeanAffiliated withSwiss Center for Affective Sciences, University of Geneva
  • , Thierry PunAffiliated withComputer Science Department, University of Geneva

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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.