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WhoLoDancE: Towards a methodology for selecting Motion Capture Data across different Dance Learning Practice

Published: 05 July 2016 Publication History

Abstract

In this paper we present the objectives and preliminary work of WhoLoDancE a Research and Innovation Action funded under the European Union's Horizon 2020 programme, aiming at using new technologies for capturing and analyzing dance movement to facilitate whole-body interaction learning experiences for a variety of dance genres. Dance is a diverse and heterogeneous practice and WhoLoDancE will develop a protocol for the creation and/or selection of dance sequences drawn from different dance styles for different teaching and learning modalities. As dance learning practice lacks standardization beyond dance genres and specific schools and techniques, one of the first project challenges is to bring together a variety of dance genres and teaching practices and work towards a methodology for selecting the appropriate shots for motion capturing, to acquire kinetic material which will provide a satisfying proof of concept for Learning scenarios of particular genres. The four use cases we are investigating are 1) classical ballet, 2) contemporary dance, 3) flamenco and 4) Greek folk dance.

Cited By

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  • (2024)Intelligent Dance Motion Evaluation: An Evaluation Method Based on Keyframe Acquisition According to Musical Beat FeaturesSensors10.3390/s2419627824:19(6278)Online publication date: 28-Sep-2024
  • (2024)Development and Innovation of Chinese Classical Dance Teaching Mode in the Background of InternetApplied Mathematics and Nonlinear Sciences10.2478/amns-2024-06159:1Online publication date: 26-Feb-2024
  • (2024)Dancing with Themselves: An extended reality experiment for capturing partner dances.Proceedings of the 9th International Conference on Movement and Computing10.1145/3658852.3659088(1-6)Online publication date: 30-May-2024
  • Show More Cited By

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Information

Published In

cover image ACM Other conferences
MOCO '16: Proceedings of the 3rd International Symposium on Movement and Computing
July 2016
300 pages
ISBN:9781450343077
DOI:10.1145/2948910
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

In-Cooperation

  • University of Macedonia
  • Aristotle University of Thessaloniki
  • Université Paris 8: Université Paris 8

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 05 July 2016

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Author Tags

  1. Dance Learning
  2. Dance practices and genres
  3. Human Movement
  4. Motion Capture
  5. Whole-Body interaction

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  • Extended-abstract
  • Research
  • Refereed limited

Conference

MOCO'16

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Overall Acceptance Rate 85 of 185 submissions, 46%

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Cited By

View all
  • (2024)Intelligent Dance Motion Evaluation: An Evaluation Method Based on Keyframe Acquisition According to Musical Beat FeaturesSensors10.3390/s2419627824:19(6278)Online publication date: 28-Sep-2024
  • (2024)Development and Innovation of Chinese Classical Dance Teaching Mode in the Background of InternetApplied Mathematics and Nonlinear Sciences10.2478/amns-2024-06159:1Online publication date: 26-Feb-2024
  • (2024)Dancing with Themselves: An extended reality experiment for capturing partner dances.Proceedings of the 9th International Conference on Movement and Computing10.1145/3658852.3659088(1-6)Online publication date: 30-May-2024
  • (2023)Dancing on the inside: A qualitative study on online dance learning with teacher-AI cooperationEducation and Information Technologies10.1007/s10639-023-11649-028:9(12111-12141)Online publication date: 4-Mar-2023
  • (2022)Detecting and Visualizing Stops in Dance Training by Neural Network Based on Velocity and AccelerationSensors10.3390/s2214540222:14(5402)Online publication date: 20-Jul-2022
  • (2022)Exploring costume-avatar interaction in digital dance experiencesProceedings of the 8th International Conference on Movement and Computing10.1145/3537972.3537980(1-6)Online publication date: 22-Jun-2022
  • (2022)Enriching teachers’ assessments of rhythmic Forró dance skills by modelling motion sensor dataInternational Journal of Human-Computer Studies10.1016/j.ijhcs.2022.102776161:COnline publication date: 1-May-2022
  • (2022)Towards a general framework for the annotation of dance motion sequencesMultimedia Tools and Applications10.1007/s11042-022-12602-y82:3(3363-3395)Online publication date: 4-Jul-2022
  • (2021)The Body Beyond Movement: (Missed) Opportunities to Engage with Contemporary Dance in HCIProceedings of the Fifteenth International Conference on Tangible, Embedded, and Embodied Interaction10.1145/3430524.3440624(1-9)Online publication date: 14-Feb-2021
  • (2021)Moving in the CubeJournal on Computing and Cultural Heritage 10.1145/342737914:2(1-26)Online publication date: 29-May-2021
  • Show More Cited By

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