Affiliation:
1. Guangxi University of Arts, Nanning 530000, China
Abstract
In order to improve the effect of ballet training, this paper combines digital technology to improve the motion recognition process, analyzes the imaging process, analyzes the system process combined with the human node model, and combines digital feature recognition technology to construct a ballet training motion correction system. Moreover, this paper inputs the ballet training action recognition results into the system and compares the standard actions to judge the rationality of the actions and builds a ballet training action correction system based on digital feature recognition. In addition, this paper designs experiments to conduct ballet training movements in the system effect evaluation. The experimental research verifies that the digital feature recognition technology proposed in this paper can play an important role in ballet movement recognition and has a good action correction effect.
Funder
Guangxi University of Arts
Subject
General Mathematics,General Medicine,General Neuroscience,General Computer Science
Cited by
2 articles.
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1. Data driven intelligent action recognition and correction in sports training and teaching;Evolutionary Intelligence;2023-01-31
2. Context-based Data Augmentation for Improved Ballet Pose Recognition;2022 International Conference on Artificial Intelligence, Big Data, Computing and Data Communication Systems (icABCD);2022-08-04