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Estimating the Physical Effort of Human Poses

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Image and Video Retrieval (CIVR 2006)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 4071))

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Abstract

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.

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References

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Author information

Authors and Affiliations

  1. Arts, Media and Engineering, Arizona State University, Tempe, AZ, 85281

    Yinpeng Chen, Hari Sundaram & Jodi James

Authors
  1. Yinpeng Chen
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  2. Hari Sundaram
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  3. Jodi James
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Editor information

Editors and Affiliations

  1. Arts, Media and Engineering Program, Arizona State University, 85281, Tempe, AZ,  

    Hari Sundaram

  2. Intelligent Information Management Department, IBM T.J. Watson Research Center, 19 Skyline Drive, 10532, Hawthorne, NY, USA

    Milind Naphade

  3. Intelligent Information Management Department, IBM T. J. Watson Research Center, 19 Skyline Drive, 10532, Hawthorne, NY, USA

    John R. Smith

  4. Microsoft Corporation, Microsoft China R&D Group, 49 Zhichun Road, 100080, Beijing, China

    Yong Rui

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© 2006 Springer-Verlag Berlin Heidelberg

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Chen, Y., Sundaram, H., James, J. (2006). Estimating the Physical Effort of Human Poses. In: Sundaram, H., Naphade, M., Smith, J.R., Rui, Y. (eds) Image and Video Retrieval. CIVR 2006. Lecture Notes in Computer Science, vol 4071. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11788034_50

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  • DOI: https://doi.org/10.1007/11788034_50

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-36018-6

  • Online ISBN: 978-3-540-36019-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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