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Open Access

Peer-reviewed

Research Article

Football players’ strength training method using image processing based on machine learning

Xiaoxiang Cao,

Roles Data curation, Writing – original draft

Affiliation School of Physical Education and Health, Hangzhou Normal University, Hangzhou, 310036, Zhejiang, China
⨯
Xiaodong Zhao,

Roles Formal analysis, Investigation

Affiliation School of Physical Education, Chengdu University of Technology, Chengdu, 610059, Xichuang, China
⨯
Huan Tang,

Roles Methodology, Software

Affiliation Chengdu Sport University, 610041, Chengdu city, Sichuan province, China
⨯
Nianchun Fan ,

Roles Supervision, Writing – review & editing

* E-mail: fannca@163.com

Affiliation School of Physical Education and Health, Hangzhou Normal University, Hangzhou, 310036, Zhejiang, China

https://orcid.org/0009-0007-2353-3212

⨯
Fateh Zereg

Roles Investigation, Project administration, Supervision

Affiliation Chengdu Sport University, 610041, Chengdu city, Sichuan province, China
⨯

Football players’ strength training method using image processing based on machine learning

Xiaoxiang Cao,
Xiaodong Zhao,
Huan Tang,
Nianchun Fan,
Fateh Zereg

x

Published: June 16, 2023
https://doi.org/10.1371/journal.pone.0287433

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Sports
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Strength training
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Legs
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Machine learning
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Machine learning algorithms
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Support vector machines
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Abdominal muscles
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Physical fitness
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