An Approach to Ballet Dance Training through MS Kinect and Visualization in a CAVE Virtual Reality Environment
Author:
Affiliation:
1. Ryerson University, Toronto, ON, Canada
2. Communication University of China, Beijing, P.R. China
3. Guangdong University of Technology, Guangzhou, P.R China
4. Naresuan University, Phisanulok, Thailand
Abstract
Publisher
Association for Computing Machinery (ACM)
Subject
Artificial Intelligence,Theoretical Computer Science
Link
https://dl.acm.org/doi/pdf/10.1145/2735951
Reference54 articles.
1. D. Alexiadis P. Daras P. Kelly N. E. O’Connor T. Boubekeur and M. B. Moussa. 2011. Evaluating a dancer's performance using Kinect--based skeleton tracking. In ACM Multimedia. 659--662. 10.1145/2072298.2072412 D. Alexiadis P. Daras P. Kelly N. E. O’Connor T. Boubekeur and M. B. Moussa. 2011. Evaluating a dancer's performance using Kinect--based skeleton tracking. In ACM Multimedia. 659--662. 10.1145/2072298.2072412
2. Interactive motion generation from examples
3. Effects of teaching experience, knowledge of performer competence, and knowledge of performance outcome on performance error identification;Armstrong C. W.;Research Quarterly,1979
4. Knee rotation in classical dancers during the grand plié;Barnes M. A.;Medical Problems of Performing Artists,2000
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