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

  • Guillaume Chanel
  • Julien Kronegg
  • Didier Grandjean
  • Thierry Pun
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4105)


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.


Arousal Evaluation Emotion Recognition Physiological Signal International Affective Picture System Arousal Dimension 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Guillaume Chanel
    • 1
  • Julien Kronegg
    • 1
  • Didier Grandjean
    • 2
  • Thierry Pun
    • 1
  1. 1.Computer Science DepartmentUniversity of GenevaSwitzerland
  2. 2.Swiss Center for Affective SciencesUniversity of GenevaSwitzerland

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