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Emotion Investigation Based on Biosignals

  • E. Lupu
  • S. Emerich
  • R. Arsinte
Part of the IFMBE Proceedings book series (IFMBE, volume 36)

Abstract

In this paper a physiological signal-based emotion recognition approach is presented. The input bio-signals are electromyogram, electrocardiogram, skin conductivity and respiration change. The feature vector is extracted from each signal type by using the same technique based on wavelets and TESPAR DZ method. A Support Vector Machine (SVM) classifier was employed to distinguish among four emotional states: joy, anger, sadness and pleasure. The database employed in our experiments is the AuBT corpus.

Keywords

emotional states TESPAR DZ biosignals feature selection SVM 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • E. Lupu
    • 1
  • S. Emerich
    • 1
  • R. Arsinte
    • 1
  1. 1.Communications dept.Technical University of Cluj-NapocaCluj-NapocaRomania

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