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

Xiaoxiang Cao1, Xiaodong Zhao2, Huan Tang3

  • 1School of Physical Education and Health, Hangzhou Normal University, Hangzhou, 310036, Zhejiang, China.

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Summary

Functional strength training significantly improves football players' physical fitness, including kicking, running, and throwing. Machine learning enhances training efficiency by analyzing player movements.

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Area of Science:

  • Sports Science
  • Biomechanical Analysis
  • Machine Learning in Sports

Background:

  • Declining physical fitness in athletes and the general population is a growing concern.
  • Football players require specific physical capabilities that can be enhanced through targeted training.
  • Current training methods may not fully optimize performance or address individual player needs.

Purpose of the Study:

  • To evaluate the impact of functional strength training on the physical capabilities of adolescent football players.
  • To develop and apply a machine learning model for analyzing and improving kicking actions.
  • To enhance overall training efficiency in football.

Main Methods:

  • A randomized controlled trial with 116 adolescent football players (ages 8-13) divided into experimental and control groups.
  • The experimental group received 15-20 minutes of functional strength training post-session for 24 sessions.
  • A backpropagation neural network (BPNN) was used to analyze kicking actions based on movement speed, sensitivity, and strength.

Main Results:

  • The experimental group showed statistically significant improvements in kicking scores compared to pre-experiment levels.
  • Significant differences were observed between groups in shuttle running, throwing, and set kicking.
  • The machine learning model effectively analyzed kicking actions to improve training efficiency.

Conclusions:

  • Functional strength training is highly effective in enhancing strength and sensitivity in football players.
  • Integrating functional strength training into football programs can lead to substantial performance improvements.
  • Machine learning offers a valuable tool for objective movement analysis and personalized training optimization.