Journal of Intelligent Computing

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Journal of Intelligent Computing

Analysis of Badminton Physical Fitness Special Training Based on Association Rule Algorithm

Lu Ying
School of Physical Education Science Fujian Normal University Fuzhou, 350000, Fujian China

Abstract: This article introduces a badminton physical fitness specialized training analysis model based on an association rule algorithm. This model identifies the strengths and weaknesses of athletes during the training process by preprocessing their training data, mining association rules, and analyzing the results. At the same time, the model can also provide targeted training suggestions and guidance based on individual differences and training needs of athletes. Then, this article takes a badminton player as an example and uses the model to analyze their physical fitnessspecific training data. By mining association rules, it was found that the athlete had some shortcomings during the training process, such as a large room for improvement in speed and endurance. In response to these issues, the model provides corresponding training suggestions and guidance, supporting the player to improve their physical fitness level further.

Keywords: Association Rules Algorithm, Badminton Training, Improving Physical Ability, Physical Training Analysis of Badminton Physical Fitness Special Training Based on Association Rule Algorithm

DOI:https://doi.org/10.6025/jic/2023/14/4/105-111

Full_Text PDF 515 KB Download: 21 times

References:

[1] Gabbett, T., Jenkins, D., Abernethy, B. (2009). Game-based training for improving skill and physical fitness in team sport athletes. International Journal of Sports Science & Coaching, 4(2), 273-283.

[2] Tessier, D., Sarrazin, P., Ntoumanis, N. (2010). The effect of an intervention to improve newly qualified teachers’ interpersonal style, students' motivation and psychological need satisfaction in sport-based physical education. Contemporary Educational Psychology, 35(4), 242-253.

[3] Kanning, M.K., Ebner-Priemer, U.W., Schlicht, W.M. (2013). How to investigate within-subject associations between physical activity and momentary affective states in everyday life: a position statement based on a literature overview. Frontiers in Psychology, 4, 187.

[4] Halouani, J., Chtourou, H., Gabbett, T., et al. (2014). Small-sided games in team sports training: A brief review. The Journal of Strength & Conditioning Research, 28(12), 3594-3618.

[5] Holt, N.L., Strean, W.B., Bengoechea, E.G. (2002). Expanding the teaching games for understanding model: New avenues for future research and practice. Journal of Teaching in Physical Education, 21(2), 162-176.

[6] Casey, A., Dyson, B. (2009). The implementation of models-based practice in physical education through action research. European Physical Education Review, 15(2), 175-199.

[7] Theodorakis, Y., Weinberg, R., Natsis, P., et al. (2000). The effects of motivational versus instructional self-talk on improving motor performance. The Sport Psychologist, 14(3), 253-271.

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