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Towards AI-enhanced ballet learning

Since its codified genesis in the 18th century, ballet training has largely been unchanged: it relies on the word of mouth expertise passed down generation to generation and in tools that do not adequately support both dancers and teachers. Moreover, top-tier training is only found in a few locations around the world and comes at an exceptional price. In this context, artificial intelligence (AI)-based video tools might represent an affordable and non-invasive alternative: it would allow dancers and teachers to self-assess as well as enable skilled dance teachers to connect with a wider audience. In my research, I study how to design and evaluate AI-based tools to improve ballet performance for dancers and teachers.
© Copyright 2019 Proceedings of the 6th International Conference on Movement and Computing. Published by ACM. All rights reserved.

Bibliographic Details
Subjects:
Notations:technical and natural sciences technical sports
Tagging:künstliche Intelligenz
Published in:Proceedings of the 6th International Conference on Movement and Computing
Language:English
Published: New York ACM 2019
Series:MOCO '19
Online Access:https://doi.org/10.1145/3347122.3371380
Pages:Article 34
Document types:article
Level:advanced