A computational estimate of the physical effort in human poses

Yinpeng Chen; Hari Sundaram; Jodi James

doi:10.1007/978-3-540-69429-8_40

A computational estimate of the physical effort in human poses

Yinpeng Chen, Hari Sundaram, Jodi James

Research output: Chapter in Book/Report/Conference proceeding › Conference 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 language	English (US)
Title of host publication	Advances in Multimedia Modeling - 13th International Multimedia Modeling Conference, MMM 2007, Proceedings
Pages	393-404
Number of pages	12
Edition	PART 2
DOIs	https://doi.org/10.1007/978-3-540-69429-8_40
State	Published - 2007
Externally published	Yes
Event	13th International Multimedia Modeling Conference, MMM 2007 - Singapore, Singapore Duration: Jan 9 2007 → Jan 12 2007

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Number	PART 2
Volume	4352 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Other

Other	13th International Multimedia Modeling Conference, MMM 2007
Country/Territory	Singapore
City	Singapore
Period	1/9/07 → 1/12/07

ASJC Scopus subject areas

Theoretical Computer Science
General Computer Science

Online availability

10.1007/978-3-540-69429-8_40

Library availability

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Chen, Y., Sundaram, H., & James, J. (2007). A computational estimate of the physical effort in human poses. In Advances in Multimedia Modeling - 13th International Multimedia Modeling Conference, MMM 2007, Proceedings (PART 2 ed., pp. 393-404). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4352 LNCS, No. PART 2). https://doi.org/10.1007/978-3-540-69429-8_40

A computational estimate of the physical effort in human poses. / Chen, Yinpeng; Sundaram, Hari; James, Jodi.
Advances in Multimedia Modeling - 13th International Multimedia Modeling Conference, MMM 2007, Proceedings. PART 2. ed. 2007. p. 393-404 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4352 LNCS, No. PART 2).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Chen, Y, Sundaram, H & James, J 2007, A computational estimate of the physical effort in human poses. in Advances in Multimedia Modeling - 13th International Multimedia Modeling Conference, MMM 2007, Proceedings. PART 2 edn, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), no. PART 2, vol. 4352 LNCS, pp. 393-404, 13th International Multimedia Modeling Conference, MMM 2007, Singapore, Singapore, 1/9/07. https://doi.org/10.1007/978-3-540-69429-8_40

Chen Y, Sundaram H, James J. A computational estimate of the physical effort in human poses. In Advances in Multimedia Modeling - 13th International Multimedia Modeling Conference, MMM 2007, Proceedings. PART 2 ed. 2007. p. 393-404. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 2). doi: 10.1007/978-3-540-69429-8_40

Chen, Yinpeng ; Sundaram, Hari ; James, Jodi. / A computational estimate of the physical effort in human poses. Advances in Multimedia Modeling - 13th International Multimedia Modeling Conference, MMM 2007, Proceedings. PART 2. ed. 2007. pp. 393-404 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 2).

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A computational estimate of the physical effort in human poses

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