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| Автори: Златка Узунова., Чотров, Д. И., Стоян Малешков. Заглавие: Virtual Reality System for Motion Capture Analysis and Visualization for Folk Dance Training Ключови думи: Virtual reality system, Motion capture, Bulgarian folk dance Абстракт: In this article an approach and methodology for motion capture, comparison and assessment combined with virtual reality visualization and natural user interaction designed for learning of folk dances is proposed. The methodology includes different methods applied over the three stages of the learning process – capturing of the dance motions, playback of the training material in virtual reality and comparison and assessment of the trainee’s movements in real-time. The training process itself can be executed in several different modes with increasing difficulty. At the end of the paper a number of experiments are presented showing our results from the implementation of the first two stages. The described methods utilize Microsoft Kinect and Leap Motion for motion capture, training and navigation and a head mounted display for the stereoscopic visualization and review of the training material. Библиография Издание
| Autors: Zlatka Uzunova., Chotrov, D. I., Stoyan Maleshkov. Title: Virtual Reality System for Motion Capture Analysis and Visualization for Folk Dance Training Keywords: Virtual reality system, Motion capture, Bulgarian folk dance, Oculus Rift, Kinect, Leap Motion, Unity - Game Engine Abstract: In this article an approach and methodology for motion capture, comparison and assessment combined with virtual reality visualization and natural user interaction designed for learning of folk dances is proposed. The methodology includes different methods applied over the three stages of the learning process – capturing of the dance motions, playback of the training material in virtual reality and comparison and assessment of the trainee’s movements in real-time. The training process itself can be executed in several different modes with increasing difficulty. At the end of the paper a number of experiments are presented showing our results from the implementation of the first two stages. The described methods utilize Microsoft Kinect and Leap Motion for motion capture, training and navigation and a head mounted display for the stereoscopic visualization and review of the training material. References Issue
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Цитирания (Citation/s):
1. Investigating the Learning Process of Folk Dances Using Mobile Augmented Reality - 2020 - в издания, индексирани в Scopus или Web of Science
2. Assessing the Learning of Folk Dance Movements Using Immersive Virtual Reality - 2020 - в издания, индексирани в Scopus или Web of Science
3. Biele C. (2022) Movement in Virtual Reality. In: Human Movements in Human-Computer Interaction (HCI). Studies in Computational Intelligence, vol 996. Springer, Cham. https://doi.org/10.1007/978-3-030-90004-5_7 - 2022 - в издания, индексирани в Scopus или Web of Science
4. M.R. Reshma, B. Kannan, V.P. Jagathy Raj, S. Shailesh (2023). Cultural heritage preservation through dance digitization: A review. Digital Applications in Archaeology and Cultural Heritage. e00257. 10.1016/j.daach.2023.e00257 - 2023 - в издания, индексирани в Scopus или Web of Science
5. Kalushkov, Teodor & Valcheva, Donika & Petkov, Emiliyan & Shipkovenski, Georgi & Milev, Vassil. (2023). Models For Implementation Of Augmented And Virtual Reality Technologies In Folklore Dancing Halls. 1-6. http://dx.doi.org/10.1109/HORA58378.2023.10156656 - 2023 - в български издания
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