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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 (UGent) and Marc Leman (UGent)
Author
Organization
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.
Keywords
dance modeling and recognition, audiovisual dance performance database, dance education, spatiotemporal template, dance-based music querying and retrieval, multimodal monitoring, IPEMapplication, IPEMentrainment

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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.
@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},
}

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