Comparison of Trajectories and Quaternions of Folk Dance Movements Using Dynamic Time Warping

KICO, Iris and Fotios LIAROKAPIS. Comparison of Trajectories and Quaternions of Folk Dance Movements Using Dynamic Time Warping. Online. In Fotis Liarokapis. 2019 11th International Conference on Virtual Worlds and Games for Serious Applications (VS-Games). Vienna: IEEE, 2019, p. 1-4. ISBN 978-1-5386-7123-8. Available from: https://dx.doi.org/10.1109/VS-Games.2019.8864604.

Basic information

• Original name: Comparison of Trajectories and Quaternions of Folk Dance Movements Using Dynamic Time Warping
• Authors: KICO, Iris (70 Bosnia and Herzegovina, guarantor, belonging to the institution) and Fotios LIAROKAPIS (300 Greece, belonging to the institution).
• Edition: Vienna, 2019 11th International Conference on Virtual Worlds and Games for Serious Applications (VS-Games), p. 1-4, 4 pp. 2019.
• Publisher: IEEE

Other information

• Original language: English
• Type of outcome: Proceedings paper
• Field of Study: 20200 2.2 Electrical engineering, Electronic engineering, Information engineering
• Country of publisher: Austria
• Confidentiality degree: is not subject to a state or trade secret
• Publication form: electronic version available online
• WWW: URL
• RIV identification code: RIV/00216224:14330/19:00110959
• Organization unit: Faculty of Informatics
• ISBN: 978-1-5386-7123-8
• ISSN: 2474-0489
• Doi: http://dx.doi.org/10.1109/VS-Games.2019.8864604
• UT WoS: 000712143600042
• Keywords in English: motion capture; human motion; folk dances; dynamic time warping

Abstract

Analysis and comparison of human motion are very important for games and virtual reality. In the case of dances, teacher's or professional performance is considered as the ground truth. To provide feedback to the learner, learner's movements are compared to the teacher's movements. Recording human motion using optical motion capture system is often considered as gold standard. In this paper, the problem of getting ground truth data has been analyzed. Professional dancers, male and female, were recorded performing folk dances, alone and with a partner using an optical motion capture system. Two cases for dancing in pair, one person was wearing the suit with passive markers, and both were wearing suits. Three-dimensional marker trajectories and quaternions were compared using dynamic time warping and multidimensional dynamic time warping. Initial results show that dances performed in pair are the most similar and could be used in the applications for learning purposes.

Links

• 691218, interní kód MU: Name: Transforming Intangible Folkloric Performing Arts into Tangible Choreographic Digital (Acronym: Terpsichore)

Investor: European Union, MSCA Marie Skłodowska-Curie Actions (Excellent Science)