Utilizing Animation and Motion Sensing Technologies for Macedonian Folk Dances Visualization and Analysis

Spireva, Biljana and Ognenoski, Ognen and Dimitrovski, Goran (2012) Utilizing Animation and Motion Sensing Technologies for Macedonian Folk Dances Visualization and Analysis. In: Proceedings of the Nineth Conference on Informatics and Information Technology. Faculty of Computer Science and Engineering, Ss. Cyril and Methodius University in Skopje, Macedonia, Skopje, Macedonia, pp. 317-320. ISBN 978-608-4699-01-9


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This paper describes a framework of presentation and analysis of Macedonian folk dances using two different approaches: 3D animation software tools and motion sensing technology. The purpose of such a framework is to provide a way of detailed, accurate and quantifiable description of the Macedonian dances (and dances, in general) in order to provide recording, archiving and analysis, and by that, a substructure for educational applications. The analysis of the corelation of the dance moves with the music can provide additional support in the dance teaching/learning process. The framework implements visual presentation elements of the moves (3D animation, video, images, annotations, graphs, etc.) what makes the perception of the dance objective, accurate and understandable. This is particularly important because most of the existing materials regarding Macedonian folk dances are printed or contain only unmanageable contents i.e. they contain only non-visual presentation elements of the dance moves (text, drawings, images, annotations etc.) and cannot be used in additional analysis and as framework resources.Keywords: Innovation, technology, research projects, etc.

Item Type: Book Section
Uncontrolled Keywords: folk dance, music, Maya, 3D animation, visualization, Kinect, motion, analysis
Subjects: International Conference on Informatics and Information Technologies > Computer Applications - Sensing, Testing and Modeling
Depositing User: Vangel Ajanovski
Date Deposited: 28 Oct 2016 00:15
Last Modified: 28 Oct 2016 00:15
URI: http://eprints.finki.ukim.mk/id/eprint/11046

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