Bio-sensing for Emotional Characterization without Word Labels

  • Tessa Verhoef
  • Christine Lisetti
  • Armando Barreto
  • Francisco Ortega
  • Tijn van der Zant
  • Fokie Cnossen
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5612)


In this article, we address some of the issues concerning emotion recognition from processing physiological signals captured by bio-sensors. We discuss some of our preliminary results, and propose future directions for emotion recognition based on our lessons learned.


Emotion Recognition Affective Computing Bio-sensing 


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  1. 1.
    Russell, J.A.: A circumplex model of affect. Journal of Personality and Social Psychology 39(6), 1161–1178 (1980)CrossRefGoogle Scholar
  2. 2.
    Russell, J.A., Mehrabian, A.: Evidence for a three-factor theory of emotions. Journal of Research in Personality 11(3), 273–294 (1977)CrossRefGoogle Scholar
  3. 3.
    Scherer, K.R.: What are emotions? and how can they be measured? Social Science Information 44(4), 695–729 (2005)CrossRefGoogle Scholar
  4. 4.
    Ekman, P.: An argument for basic emotions. Emotion: Themes in the Philosophy of the Mind (1992)Google Scholar
  5. 5.
    Wierzbicka, A.: Defining emotion concepts. Cognitive Science 16(4), 539–581 (1992)CrossRefGoogle Scholar
  6. 6.
    Peter, C., Herbon, A.: Emotion representation and physiology assignments in digital systems. Interacting with Computers 18(2), 139–170 (2006)CrossRefGoogle Scholar
  7. 7.
    Lisetti, C.L., Nasoz, F.: Using noninvasive wearable computers to recognize human emotions from physiological signals. EURASIP Journal on Applied Signal Processing 2004(11), 1672–1687 (2004)CrossRefGoogle Scholar
  8. 8.
    Dishman, R.K., Nakamura, Y., Garcia, M.E., Thompson, R.W., Dunn, A.L., Blair, S.N.: Heart rate variability, trait anxiety, and perceived stress among physically fit men and women. International Journal of Psychophysiology 37(2), 121–133 (2000)CrossRefGoogle Scholar
  9. 9.
    Hilton, S.M.: The defence-arousal system and its relevance for circulatory and respiratory control. J. Exp. Biol. 100(1), 159–174 (1982)Google Scholar
  10. 10.
    Gross, J.J., Levenson, R.W.: Emotion elicitation using films. Cognition & Emotion 9(1), 87–108 (1995)CrossRefGoogle Scholar
  11. 11.
    Nasoz, F., Alvarez, K., Lisetti, C.L., Finkelstein, N.: Emotion recognition from physiological signals using wireless sensors for presence technologies. Cognition, Technology & Work 6(1), 4–14 (2004)CrossRefGoogle Scholar
  12. 12.
    Barreto, A., Zhai, J., Adjouadi, M.: Non-intrusive Physiological Monitoring for Automated Stress Detection in Human-Computer Interaction. In: Lew, M., Sebe, N., Huang, T.S., Bakker, E.M. (eds.) HCI 2007. LNCS, vol. 4796, pp. 29–38. Springer, Heidelberg (2007)Google Scholar
  13. 13.
    Duda, R.O., Hart, P.E., Stork, D.G.: Pattern classification and scene analysis. Wiley, New York (1973)zbMATHGoogle Scholar
  14. 14.
    Barrett, F.L., Russell, J.A.: Independence and bipolarity in the structure of affect. Journal of Personality and Social Psychology 74(4), 967–984 (1998)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Tessa Verhoef
    • 1
  • Christine Lisetti
    • 2
  • Armando Barreto
    • 3
  • Francisco Ortega
    • 2
  • Tijn van der Zant
    • 4
  • Fokie Cnossen
    • 4
  1. 1.University of AmsterdamAmsterdamThe Netherlands
  2. 2.School of Computing and Information SciencesUSA
  3. 3.Department of Bio-medical EngineeringFlorida International UniversityMiamiUSA
  4. 4.Artificial Intelligence InstituteUniversity of GroningenGroningenThe Netherlands

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