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

  • Guillaume Chanel
  • Julien Kronegg
  • Didier Grandjean
  • Thierry Pun
Conference paper

DOI: 10.1007/11848035_70

Part of the Lecture Notes in Computer Science book series (LNCS, volume 4105)
Cite this paper as:
Chanel G., Kronegg J., Grandjean D., Pun T. (2006) Emotion Assessment: Arousal Evaluation Using EEG’s and Peripheral Physiological Signals. In: Gunsel B., Jain A.K., Tekalp A.M., Sankur B. (eds) Multimedia Content Representation, Classification and Security. MRCS 2006. Lecture Notes in Computer Science, vol 4105. Springer, Berlin, Heidelberg

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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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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