The application of suitable sports games for junior high school students based on deep learning and artificial intelligence

In the contemporary educational environment, junior high school students’ physical education is facing the challenge of improving teaching quality, strengthening students’ physique, and cultivating lifelong physical habits. Traditional physical education teaching methods are limited by resources, fe...

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Veröffentlicht in:	Scientific reports Jg. 15; H. 1; S. 17056 - 13
Hauptverfasser:	Ji, Xueyan, Samsudin, Shamsulariffin Bin, Hassan, Muhammad Zarif Bin, Farizan, Noor Hamzani, Yuan, Yubin, Chen, Wang
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	London Nature Publishing Group UK 16.05.2025 Nature Publishing Group Nature Portfolio
Schlagworte:	639/705 639/705/1041 639/705/1042 639/705/1045 639/705/1046 639/705/117 639/705/258 639/705/531 639/705/794 Accuracy Action recognition Adolescent Algorithms Artificial Intelligence Computer vision Data collection Data processing Deep Learning Feedback Female Humanities and Social Sciences Humans Machine learning Male Middle schools multidisciplinary Neural Networks, Computer Physical education Physical Education and Training - methods Physiology Quality of education Schools Science Science (multidisciplinary) Secondary school students Secondary schools Self image Sensors Skeleton Skills Sports Sports game Students Deep learning Action recognition Artificial intelligence Sports game
ISSN:	2045-2322, 2045-2322
Online-Zugang:	Volltext
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