Spatio-temporal analysis of kinematic signals in classical ballet

Volchenkov D, Bläsing B (2013)
Journal of Computational Science 4(4): 285-292.

Journal Article | Published | English

No fulltext has been uploaded

Abstract
Motions of markers arranged on a dancer's body can be approximated by the sum of a minimal set of linear trajectories with given accuracy. The composition of approximating linear trajectories features the movement traits and discloses the level of movement expertise in the dancers. We suggest the computationally simple methods for the analysis of trajectdries and body shape changes attested directly from the motion capture data. We have tested our approach for 6 figures from the classical ballet repertoire performed by 24 dancers varying in expertise. The methods allow to estimate the level of movement expertise, to draw the detailed structure of movements, and to classify movements into a given repertoire automatically. (C) 2012 Elsevier B.V. All rights reserved.
Publishing Year
ISSN
PUB-ID

Cite this

Volchenkov D, Bläsing B. Spatio-temporal analysis of kinematic signals in classical ballet. Journal of Computational Science. 2013;4(4):285-292.
Volchenkov, D., & Bläsing, B. (2013). Spatio-temporal analysis of kinematic signals in classical ballet. Journal of Computational Science, 4(4), 285-292.
Volchenkov, D., and Bläsing, B. (2013). Spatio-temporal analysis of kinematic signals in classical ballet. Journal of Computational Science 4, 285-292.
Volchenkov, D., & Bläsing, B., 2013. Spatio-temporal analysis of kinematic signals in classical ballet. Journal of Computational Science, 4(4), p 285-292.
D. Volchenkov and B. Bläsing, “Spatio-temporal analysis of kinematic signals in classical ballet”, Journal of Computational Science, vol. 4, 2013, pp. 285-292.
Volchenkov, D., Bläsing, B.: Spatio-temporal analysis of kinematic signals in classical ballet. Journal of Computational Science. 4, 285-292 (2013).
Volchenkov, Dimitry, and Bläsing, Bettina. “Spatio-temporal analysis of kinematic signals in classical ballet”. Journal of Computational Science 4.4 (2013): 285-292.
This data publication is cited in the following publications:
This publication cites the following data publications:

Export

0 Marked Publications

Open Data PUB

Web of Science

View record in Web of Science®

Search this title in

Google Scholar