Advertisement

Methods for Quantifying Emotion-Related Gait Kinematics

  • Elizabeth Crane
  • Melissa Gross
  • Ed Rothman
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5622)

Abstract

Quantitative models of whole body expressive movement can be developed by combining methods form biomechanics, psychology, and statistics. The purpose of this paper was to use motion capture data to assess emotion-related gait kinematics of hip and shoulder sagittal plane movement to evaluate the feasibility of using functional data analysis (FDA) for developing quantitative models. Overall, FDA was an effective method for comparing gait waveforms and emotion-related kinematics were associated with emotion arousal level.

Keywords

Whole Body Interaction Motion Capture Functional Data Analysis Affective Computing 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    de Gelder, B.: Towards the neurobiology of emotional body language. Nature Reveiws Neuroscience 7, 242–249 (2006)CrossRefGoogle Scholar
  2. 2.
    Pichon, S., de Gelder, B., Grezes, J.: Emotional modulaton of visual and motor areas by dynamic body expressions of anger. Social Neuroscience (2007)Google Scholar
  3. 3.
    Crane, E.A., Gross, M., Fredrickson, B.L.: Feasibility of Concurrent Assessment of Dynamic Bodily and Facial Expressions (submitted)Google Scholar
  4. 4.
    Montepare, J.M., Goldstein, S.B., Clausen, A.: The identification of emotions from gait information. Journal of Nonverbal Behavior 11, 33–42 (1987)CrossRefGoogle Scholar
  5. 5.
    Labouvie-Vief, G., Lumley, M.A., Jain, E., Heinze, H.: Age and gender differences in cardiac reactivity and subjective emotion responses to emotional autobiographical memories. Emotion 3, 115–126 (2003)CrossRefGoogle Scholar
  6. 6.
    Levenson, R.W.: Emotion elicitation with neurological patients. In: Coan, J.A., Allen, J.J.B. (eds.) Handbook of emotion elicitation and assessment, pp. 158–168. Oxford University Press, Oxford (2007)Google Scholar
  7. 7.
    Levenson, R.W., Carstensen, L.L., Friesen, W.V., Ekman, P.: Emotion, physiology, and expression in old age. Psychology and Aging 6, 28–35 (1991)CrossRefGoogle Scholar
  8. 8.
    Crane, E., Gross, M.: Expressive Movement Style Associated with Felt and Recognized Emotions (in preparation)Google Scholar
  9. 9.
    Ramsay, J.O., Silverman, B.W.: SpringerLink: Functional data analysis. Springer, New York (2005)Google Scholar
  10. 10.
    Crane, E., Gross, M.: Motion Capture and Emotion: Affect Detection in Whole Body Movement. In: Affective Computing and Intelligent Interaction, pp. 95–101 (2007)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Elizabeth Crane
    • 1
  • Melissa Gross
    • 1
  • Ed Rothman
    • 2
  1. 1.Division of KinesiologyUniversity of MichiganAnn ArborUSA
  2. 2.Department of StatisticsUniversity of MichiganAnn ArborUSA

Personalised recommendations