ABSTRACT
Introduction:
Strength training plays a unique role in improving muscle strength and stability in athletes. Initially used in rehabilitation, it is now widely used in competitive sports.
Objective:
To combat the problem of physical exercise capacity and body posture maintenance when tennis players complete several complex movements in training, this article reviews the research on strength training in various countries from the core concept.
Methods:
Based on the main bones, joints, and muscle groups in the core area, the kinematic characteristics, and the physiological mechanism of these muscle groups, the research model of applying strength training in teaching tennis was established. The application of state-of-the-art computer technology in strength training can be based on data feedback from athletes and their training in tennis training. It can be used for real-time or faster data processing and analysis: data processing is closer to the data source than in an external data center or done in the cloud to reduce lag time.
Results:
Based on the data, we can carry out the corresponding training plans to help the athletes win the championship. With the methods of literature review, experiment, and comparative analysis, this paper studies the influence of strength training on body shape characteristics, the impact of strength training on technical accuracy characteristics, and the effect of strength training on physical health indicators.
Conclusion:
The results show that the accuracy of the experimental data is improved by 20%, and the authenticity of the data is more robust, thus of practical value. Level of evidence II; Therapeutic studies - investigation of treatment outcomes.
Keywords:
Resistance Training; Training, Exercise; Biomechanical Phenomena; Performance Computing, High
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