Estimating the Physical Effort of Human Poses
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.
KeywordsGround Truth Support Vector Regression User Study Effort Estimation Supporting Limb
Unable to display preview. Download preview PDF.
- 2.Chen, Y., Sundaram, H.: Using SVM Regression for estimation of Physical Effort. Arts Media and Engineering Program, ASU, AME-TR-2006-2 (January 2006)Google Scholar
- 3.Forsyth, D., Ponce, J.: Computer vision: A modern approach. Prentice-Hall, Englewood Cliffs (2003)Google Scholar
- 4.Laban, R.: The Mastery of Movement. Boston, Plays (1971)Google Scholar