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Frontiers in Sport Research, 2022, 4(3); doi: 10.25236/FSR.2022.040301.

Research on Apparent Strain Measurement of Ankle Joint in Taekwondo Sports Using Data Mining Algorithm


Xiaodong Wang

Corresponding Author:
Xiaodong Wang

School of Physical Education, Shaoguan University, Shaoguan, 512000, China


As a sport, Taekwondo has always attracted everyone’s attention and love, but it is a very common phenomenon to have ankle injuries during sports. Therefore, the detection of ankle injuries has become a concern theme of scholars. It is of great significance to realize the ankle apparent strain measurement quickly and in colleges and universities. In this paper, a data mining algorithm-based approach to measuring the apparent strain of the ankle joint in Taekwondo sports is proposed. This paper first analyzes and integrates the research results of scholars, and then expounds from the two aspects of data mining and ankle apparent strain measurement. The method is introduced in detail, and the principle of apparent strain measurement is explained by the formula. The feasibility and robustness of the research scheme are then demonstrated through specific experimental data. The data showed that there was a difference between the boy group and the girl group in the time of jumping, kicking, and reaching the ground.


data mining algorithms, Taekwondo sports, apparent strain measurement

Cite This Paper

Xiaodong Wang. Research on Apparent Strain Measurement of Ankle Joint in Taekwondo Sports Using Data Mining Algorithm. Frontiers in Sport Research (2022) Vol. 4, Issue 3: 1-7. https://doi.org/10.25236/FSR.2022.040301.


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