Innovative Teaching Method for Dunhuang Dance Incorporating Pose Estimation Fusion
- DOI
- 10.2991/978-94-6463-417-4_4How to use a DOI?
- Keywords
- Dunhuang dance; motion capture; gesture estimation; dance learning
- Abstract
To overcome the challenges of high costs, venue requirements, and lack of portability in current digital teaching for Dunhuang dance, this study uses Vicon optical motion capture to create a Dunhuang dance motion database and virtual dancers. Using lightweight Convolutional Neural Networks (CNN) for single-view pose estimation in Unity, it captures students’ 3D body movements in real-time, driving their virtual avatars. The result is a virtual scene replicating the “one-on-one” teacher-student interaction. This approach enhances user engagement, offering a fresh learning experience and introducing a new teaching paradigm for Dunhuang dance.
- Copyright
- © 2024 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Zhenjie Liu AU - Shuaishuai Li AU - Yuezhou Zhang AU - Jiaxin Wang AU - Xihong Luo AU - Xiangzhen He PY - 2024 DA - 2024/05/07 TI - Innovative Teaching Method for Dunhuang Dance Incorporating Pose Estimation Fusion BT - Proceedings of the 2024 5th International Conference on Big Data and Informatization Education (ICBDIE 2024) PB - Atlantis Press SP - 30 EP - 42 SN - 1951-6851 UR - https://doi.org/10.2991/978-94-6463-417-4_4 DO - 10.2991/978-94-6463-417-4_4 ID - Liu2024 ER -