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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© 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
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