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Dance-the-music: an educational platform for the modeling, recognition and audiovisual monitoring of dance steps using spatiotemporal motion templates

Pieter-Jan Maes UGent, Denis Amelynck and Marc Leman UGent (2012) EURASIP JOURNAL ON ADVANCES IN SIGNAL PROCESSING.
abstract
In this article, a computational platform is presented, entitled “Dance-the-Music”, that can be used in a dance educational context to explore and learn the basics of dance steps. By introducing a method based on spatiotemporal motion templates, the platform facilitates to train basic step models from sequentially repeated dance figures performed by a dance teacher. Movements are captured with an optical motion capture system. The teachers’ models can be visualized from a first-person perspective to instruct students how to perform the specific dance steps in the correct manner. Moreover, recognition algorithms-based on a template matching method can determine the quality of a student’s performance in real time by means of multimodal monitoring techniques. The results of an evaluation study suggest that the Dance-the-Music is effective in helping dance students to master the basics of dance figures.
Please use this url to cite or link to this publication:
author
organization
year
type
journalArticle (original)
publication status
published
subject
keyword
dance modeling and recognition, audiovisual dance performance database, dance education, spatiotemporal template, dance-based music querying and retrieval, multimodal monitoring, IPEMapplication, IPEMentrainment
journal title
EURASIP JOURNAL ON ADVANCES IN SIGNAL PROCESSING
EURASIP J. Adv. Signal Process.
article number
35
pages
16 pages
Web of Science type
Article
Web of Science id
000208924000001
JCR category
ENGINEERING, ELECTRICAL & ELECTRONIC
JCR impact factor
0.807 (2012)
JCR rank
155/242 (2012)
JCR quartile
3 (2012)
ISSN
1687-6180
DOI
10.1186/1687-6180-2012-35
language
English
UGent publication?
yes
classification
A1
copyright statement
I have retained and own the full copyright for this publication
id
2118756
handle
http://hdl.handle.net/1854/LU-2118756
date created
2012-05-30 08:34:30
date last changed
2016-12-21 15:42:03
@article{2118756,
  abstract     = {In this article, a computational platform is presented, entitled {\textquotedblleft}Dance-the-Music{\textquotedblright}, that can be used in a dance educational context to explore and learn the basics of dance steps. By introducing a method based on spatiotemporal motion templates, the platform facilitates to train basic step models from sequentially repeated dance figures performed by a dance teacher. Movements are captured with an optical motion capture system. The teachers{\textquoteright} models can be visualized from a first-person perspective to instruct students how to perform the specific dance steps in the correct manner. Moreover, recognition algorithms-based on a template matching method can determine the quality of a student{\textquoteright}s performance in real time by means of multimodal monitoring techniques. The results of an evaluation study suggest that the Dance-the-Music is effective in helping dance students to master the basics of dance figures.},
  articleno    = {35},
  author       = {Maes, Pieter-Jan and Amelynck, Denis and Leman, Marc},
  issn         = {1687-6180},
  journal      = {EURASIP JOURNAL ON ADVANCES IN SIGNAL PROCESSING},
  keyword      = {dance modeling and recognition,audiovisual dance performance database,dance education,spatiotemporal template,dance-based music querying and retrieval,multimodal monitoring,IPEMapplication,IPEMentrainment},
  language     = {eng},
  pages        = {16},
  title        = {Dance-the-music: an educational platform for the modeling, recognition and audiovisual monitoring of dance steps using spatiotemporal motion templates},
  url          = {http://dx.doi.org/10.1186/1687-6180-2012-35},
  year         = {2012},
}

Chicago
Maes, Pieter-Jan, Denis Amelynck, and Marc Leman. 2012. “Dance-the-music: An Educational Platform for the Modeling, Recognition and Audiovisual Monitoring of Dance Steps Using Spatiotemporal Motion Templates.” Eurasip Journal on Advances in Signal Processing.
APA
Maes, P.-J., Amelynck, D., & Leman, M. (2012). Dance-the-music: an educational platform for the modeling, recognition and audiovisual monitoring of dance steps using spatiotemporal motion templates. EURASIP JOURNAL ON ADVANCES IN SIGNAL PROCESSING.
Vancouver
1.
Maes P-J, Amelynck D, Leman M. Dance-the-music: an educational platform for the modeling, recognition and audiovisual monitoring of dance steps using spatiotemporal motion templates. EURASIP JOURNAL ON ADVANCES IN SIGNAL PROCESSING. 2012;
MLA
Maes, Pieter-Jan, Denis Amelynck, and Marc Leman. “Dance-the-music: An Educational Platform for the Modeling, Recognition and Audiovisual Monitoring of Dance Steps Using Spatiotemporal Motion Templates.” EURASIP JOURNAL ON ADVANCES IN SIGNAL PROCESSING (2012): n. pag. Print.