Estimating the Physical Effort of Human Poses

  • Yinpeng Chen
  • Hari Sundaram
  • Jodi James
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4071)


This paper deals with the problem of estimating the effort required to maintain a static pose by human beings. The problem is important in developing effective pose classification as wells as in developing models of human attention. We estimate the human pose effort using two kinds of body constraints – skeletal constraints and gravitational constraints. The extracted features are combined together using SVM regression to estimate the pose effort. We tested our algorithm on 55 poses with different annotated efforts with excellent results. Our user studies additionally validate our approach.


Ground Truth Support Vector Regression User Study Effort Estimation Supporting Limb 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Yinpeng Chen
    • 1
  • Hari Sundaram
    • 1
  • Jodi James
    • 1
  1. 1.Arts, Media and EngineeringArizona State UniversityTempe

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