A computational estimate of the physical effort in human poses

Yinpeng Chen, Hari Sundaram, Jodi James

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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 dance summarization and rehabilitation applications. 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 dance poses with different annotated efforts with excellent results. Our user studies additionally validate our approach.

Original languageEnglish (US)
Title of host publicationAdvances in Multimedia Modeling - 13th International Multimedia Modeling Conference, MMM 2007, Proceedings
Pages393-404
Number of pages12
EditionPART 2
DOIs
StatePublished - 2007
Externally publishedYes
Event13th International Multimedia Modeling Conference, MMM 2007 - Singapore, Singapore
Duration: Jan 9 2007Jan 12 2007

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 2
Volume4352 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other13th International Multimedia Modeling Conference, MMM 2007
Country/TerritorySingapore
CitySingapore
Period1/9/071/12/07

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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