@inproceedings{5646967e3c9349ee8204ebca7b962923,
title = "Estimating the physical effort of human poses",
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.",
author = "Yinpeng Chen and Hari Sundaram and Jodi James",
year = "2006",
doi = "10.1007/11788034_50",
language = "English (US)",
isbn = "3540360182",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer",
pages = "487--490",
booktitle = "Image and Video Retrieval - 5th International Conference, CIVR 2006, Proceedings",
address = "Germany",
note = "5th International Conference on Image and Video Retrieval, CIVR 2006 ; Conference date: 13-07-2006 Through 15-07-2006",
}