Author:
Limmanee Apirath,Sayyot Peeraphon
Publisher
Springer Nature Singapore
Reference20 articles.
1. Limmanee, A., Buranasuk, S.: Perception-driven ballet gesture recognition and evaluation system using kinect. In: 2021 IEEE International Conference on Imaging Systems and Techniques (IST), pp. 1–6, New York (2021)
2. Kyan, M., et al.: An approach to ballet dance training through MS kinect and visualization in a cave virtual reality environment. ACM Trans. Intell. Syst. Technol. (TIST) 6(2), 1–37 (2015)
3. Muneesawang, P., et al.: A machine intelligence approach to virtual ballet training. IEEE Multimedia 22(4), 80–92 (2015)
4. Trajkova, M., Cafaro, F.: E-ballet: designing for remote ballet learning. In: Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct, pp. 213–216, Heidelberg (2016)
5. Knudsen, E.W., et al.:Audio-Visual Feedback for Self-Monitoring Posture in Ballet Training. In: New Interfaces for Musical Expression 2017, pp. 71–76, Copenhagen (2017)
Cited by
1 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献