whoolodance:在不同的舞蹈学习实践中选择动作捕捉数据的方法

A. Camurri, K. E. Raheb, O. Even-Zohar, Y. Ioannidis, Amalia Markatzi, Jean-Marc Matos, E. Morley-Fletcher, Pablo Palacio, M. Romero, A. Sarti, S. Pietro, Vladimir Viro, Sarah Whatley
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引用次数: 28

摘要

在本文中,我们介绍了WhoLoDancE的目标和初步工作,这是由欧盟地平线2020计划资助的研究和创新行动,旨在利用新技术捕捉和分析舞蹈动作,以促进各种舞蹈类型的全身互动学习体验。舞蹈是一种多样化和异构的实践,WhoLoDancE将开发一种协议,用于创建和/或选择来自不同舞蹈风格的舞蹈序列,以适应不同的教学和学习方式。由于舞蹈学习实践除了舞蹈类型和特定的学校和技术之外缺乏标准化,因此第一个项目挑战之一是将各种舞蹈类型和教学实践结合在一起,并致力于选择合适的动作捕捉镜头的方法,以获得动能材料,这将为特定类型的学习场景提供令人满意的概念证明。我们正在调查的四个用例是:1)古典芭蕾、2)现代舞、3)弗拉门戈和4)希腊民间舞蹈。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
WhoLoDancE: Towards a methodology for selecting Motion Capture Data across different Dance Learning Practice
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.
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