<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>The OPT model is an efficient training model that is convenient and highly operational and can provide a scientific training program template for tennis players’ physical training. In this paper, six kinds of physical training contents, including warm-up training, core/balance/rapid extension compound training, speed training, agility and quick reaction training, resistance training, and relaxation training, were developed according to the structure of the OPT model. In order to better regulate the training process, the tennis players monitored their body indicators in real time by wearing smart wearable devices during the training process. In order to digitally scan the collected data, this paper processes the physical training data under the OPT model based on time-series data mining, and finds out certain patterns that show periodic appearance in the time-series database through the DTWP algorithm. The OPT model training resulted in a significant improvement in the physical performance of tennis players through the experimental study. Before and after the measurement comparison of athletes’ tennis serve speed, the tennis players’ serve speed after OPT model training under digital monitoring, compared with the tennis players’ serve speed under traditional physical fitness training, had a significant improvement in the relevant indicators, in which the p-value of the average speed of the first zone serve and the average speed of the second zone serve were 0.043* and 0.043*, respectively, and a statistical difference appeared. It proves that OPT model training can have a positive effect on tennis players’ serve speed.</p>
</abstract>

The OPT model is an efficient training model that is convenient and highly operational and can provide a scientific training program template for tennis players’ physical training. In this paper, six kinds of physical training contents, including warm-up training, core/balance/rapid extension compound training, speed training, agility and quick reaction training, resistance training, and relaxation training, were developed according to the structure of the OPT model. In order to better regulate the training process, the tennis players monitored their body indicators in real time by wearing smart wearable devices during the training process. In order to digitally scan the collected data, this paper processes the physical training data under the OPT model based on time-series data mining, and finds out certain patterns that show periodic appearance in the time-series database through the DTWP algorithm. The OPT model training resulted in a significant improvement in the physical performance of tennis players through the experimental study. Before and after the measurement comparison of athletes’ tennis serve speed, the tennis players’ serve speed after OPT model training under digital monitoring, compared with the tennis players’ serve speed under traditional physical fitness training, had a significant improvement in the relevant indicators, in which the p-value of the average speed of the first zone serve and the average speed of the second zone serve were 0.043* and 0.043*, respectively, and a statistical difference appeared. It proves that OPT model training can have a positive effect on tennis players’ serve speed.

Research on the training of tennis players’ serve speed improvement based on the OPT model

Applied Mathematics and Nonlinear Sciences

This work is licensed under the Creative Commons Attribution 4.0 International License.

The OPT model is an efficient training model that is convenient and highly operational and can provide a scientific training program template for tennis...

Research on the training of tennis players’ serve speed improvement based on the OPT model

Online veröffentlicht: 05. Aug. 2024

Seitenbereich: -

Eingereicht: 23. März 2024

Akzeptiert: 17. Juni 2024

DOI: https://doi.org/10.2478/amns-2024-1916

Schlüsselwörter
OPT model, Data mining, DTWP algorithm, Tennis

© 2024 Jin Bian, published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Research on the training of tennis players’ serve speed improvement based on the OPT model

Online veröffentlicht: 05. Aug. 2024

Seitenbereich: -

Eingereicht: 23. März 2024

Akzeptiert: 17. Juni 2024

DOI: https://doi.org/10.2478/amns-2024-1916

SchlüsselwörterOPT model, Data mining, DTWP algorithm, Tennis

© 2024 Jin Bian, published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Schlüsselwörter
OPT model, Data mining, DTWP algorithm, Tennis