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)


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.


Whole Body Interaction Motion Capture Functional Data Analysis Affective Computing 


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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

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