research-article

Folk Dance Evaluation Using Laban Movement Analysis

Authors:

Andreas Aristidou,

Efstathios Stavrakis,

Panayiotis Charalambous,

Yiorgos Chrysanthou,

Stephania Loizidou HimonaAuthors Info & Claims

Journal on Computing and Cultural Heritage (JOCCH), Volume 8, Issue 4

Article No.: 20, Pages 1 - 19

https://doi.org/10.1145/2755566

Published: 14 August 2015 Publication History

Abstract

Motion capture (mocap) technology is an efficient method for digitizing art performances, and is becoming increasingly popular in the preservation and dissemination of dance performances. Although technically the captured data can be of very high quality, dancing allows stylistic variations and improvisations that cannot be easily identified. The majority of motion analysis algorithms are based on ad-hoc quantitative metrics, thus do not usually provide insights on style qualities of a performance. In this work, we present a framework based on the principles of Laban Movement Analysis (LMA) that aims to identify style qualities in dance motions. The proposed algorithm uses a feature space that aims to capture the four LMA components (Body, Effort, Shape, Space), and can be subsequently used for motion comparison and evaluation. We have designed and implemented a prototype virtual reality simulator for teaching folk dances in which users can preview dance segments performed by a 3D avatar and repeat them. The user’s movements are captured and compared to the folk dance template motions; then, intuitive feedback is provided to the user based on the LMA components. The results demonstrate the effectiveness of our system, opening new horizons for automatic motion and dance evaluation processes.

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Index Terms

Folk Dance Evaluation Using Laban Movement Analysis
1. Computing methodologies
  1. Computer graphics
    1. Animation

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Published In

cover image Journal on Computing and Cultural Heritage

Journal on Computing and Cultural Heritage Volume 8, Issue 4

August 2015

102 pages

ISSN:1556-4673

EISSN:1556-4711

DOI:10.1145/2815168

Editor:
Roberto Scopigno
CNR-ISTI, Italy

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Copyright © 2015 ACM.

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Association for Computing Machinery

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Publication History

Published: 14 August 2015

Accepted: 01 April 2015

Revised: 01 March 2015

Received: 01 December 2014

Published in JOCCH Volume 8, Issue 4

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European Regional Development Fund
Republic of Cyprus through the Research Promotion Foundation

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Song X(2024)Intelligent multiple-attributes decision support for classroom teaching quality evaluation in dance aesthetic education based on the GRA and information entropyJournal of Intelligent Systems10.1515/jisys-2023-008833:1Online publication date: 11-Jun-2024
https://doi.org/10.1515/jisys-2023-0088
Lee SHwang SOakley ILee K(2024)Expanding the Design Space of Vision-based Interactive Systems for Group Dance PracticeProceedings of the 2024 ACM Designing Interactive Systems Conference10.1145/3643834.3661568(2768-2787)Online publication date: 1-Jul-2024
https://dl.acm.org/doi/10.1145/3643834.3661568
Dong KZhang ZChang XChirarattananon PLC R(2024)Dances with Drones: Spatial Matching and Perceived Agency in Improvised Movements with Drone and Human PartnersProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642345(1-16)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642345
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Huang YYuan YZeng XXie LFu YYue GZhao B(2024)Full-Reference Motion Quality Assessment Based on Efficient Monocular Parametric 3D Human Body Reconstruction2024 IEEE International Conference on Multimedia and Expo (ICME)10.1109/ICME57554.2024.10687714(1-6)Online publication date: 15-Jul-2024
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Lee SKang WHong JKong D(2024)Beyond the Screen With DanceSculpt: A 3D Dancer Reconstruction and Tracking System for Learning DanceInternational Journal of Human–Computer Interaction10.1080/10447318.2024.2360773(1-14)Online publication date: 19-Jun-2024
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Sarupuri BKulpa RAristidou AMulton F(2024)Dancing in virtual reality as an inclusive platform for social and physical fitness activities: a surveyThe Visual Computer: International Journal of Computer Graphics10.1007/s00371-023-03068-640:6(4055-4070)Online publication date: 1-Jun-2024
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Tratnjek MKovačič B(2023)Video as an alternative approach to teaching folk dances in music lessonsInovacije u nastavi10.5937/inovacije2304110T36:4(110-126)Online publication date: 2023
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