Research on Sports Training Action Recognition Based on Deep Learning

• Published in: Scientific programming Vol. 2021; pp. 1 - 8
• Main Author: Wang, Peng
• Format: Journal Article
• Language: English
• Published: New York Hindawi 29.06.2021; John Wiley & Sons, Inc
• Subjects: Algorithms; Artificial intelligence; Computer vision; Deep learning; Energy; Human motion; Industrial development; Machine learning; Market value; Monitoring; Motion perception; Neural networks; Pattern recognition; Sports; Sports training; Training
• ISSN: 1058-9244; 1875-919X
• DOI: 10.1155/2021/3396878

With the rapid development of science and technology in today’s society, various industries are pursuing information digitization and intelligence, and pattern recognition and computer vision are also constantly carrying out technological innovation. Computer vision is to let computers, cameras, and other machines receive information like human beings, analyze and process their semantic information, and make coping strategies. As an important research direction in the field of computer vision, human motion recognition has new solutions with the gradual rise of deep learning. Human motion recognition technology has a high market value, and it has broad application prospects in the fields of intelligent monitoring, motion analysis, human-computer interaction, and medical monitoring. This paper mainly studies the recognition of sports training action based on deep learning algorithm. Experimental work has been carried out in order to show the validity of the proposed research.