Author(s)

Cheng Zhou ¹

Affiliation(s)

¹ School of Physical Education, Hunan University of Arts and Science, Changde, Hunan, 415000, China

Corresponding Author

Cheng Zhou

ABSTRACT

In teaching practice and daily training, it is found that most students pay attention to hand skills in badminton training, but do not pay attention to the training of footwork, the movement technique is not standard, and the footwork movement is not flexible. These problems can hinder the improvement of motor skills and greatly increase the risk of sports injuries. In order to solve the shortcomings of the existing badminton pace training teaching research, this paper discusses the functional equation of the machine learning SVM classification algorithm and the types of badminton pace training teaching methods, aiming at the test indicators of the badminton pace training teaching application based on machine learning. And the test environment is briefly introduced. And the design and discussion of the teaching process structure of badminton pace training based on machine learning SVM classification algorithm, and finally the average recognition rate of four badminton paces in single training, mean training and weighted training by the machine learning SVM classification algorithm designed in this paper. Experimental test, experimental data show that the average recognition rate of forehand net pick, backhand net pick, back step overhead shot and back step forehand hit high ball in a single training based on machine learning SVM classification algorithm reached 0.895, 0.871, 0.789 and 0.920, the recognition rates in mean training and weighted training are in the range of 0.91 to 0.97, so it is verified that the model designed in this paper has better classification and recognition effects in badminton pace training teaching.

KEYWORDS

Machine Learning, SVM Classification Algorithm, Badminton Pace, Training Teaching

CITE THIS PAPER

Cheng Zhou, Machine Learning-Based Badminton Pace Training Teaching. Automation and Machine Learning (2022) Vol. 3: 48-54. DOI: http://dx.doi.org/10.23977/autml.2022.030208.

REFERENCES

[1] Pounra J, Jaskar D R, Ranjith R M, et al. Consequence of Jump Rope Training and Kettle Bell Training on Selected Agility and Muscular Strength of College Men Badminton Players[J]. Xi'an Dianzi Keji Daxue Xuebao/Journal of Xidian University, 2020, 14(5):664-669.
[2] Wismanadi H, Kafrawi F R, Pramono M, et al. Rasio Interval Training Dalam Latihan Shadow Bulutangkis Terhadap Power dan Kecepatan[J]. Journal Sport AREA, 2020, 5(2):186-198.
[3] Alikhani R, Shahrjerdi S, Golpaigany M, et al. The effect of a six-week plyometric training on dynamic balance and knee proprioception in female badminton players [J]. JCCA. Journal of the Canadian Chiropractic Association. Journal de l'Association chiropratique canadienne, 2019, 63(3):144-153.
[4] A Bravo-Sánchez, J Abián-Vicén, AT Montalbán, et al. Acute effects of badminton practice on the surface temperature of lower limbs introduction [J]. Archivos de Medicina del Deporte, 2018, 35(4):239-244.
[5] JA Pérez-Turpin, Elvira C, Cabello-Manrique D, et al. Section III -Sports Training Notational Comparison Analysis of Outdoor Badminton Men's Single and Double Matches [J]. Journal of Human Kinetics, 2020, 71(2020):267-273.
[6] Nirendan J. Effect of shadow training on motor fitness components of badminton players [J]. International Journal of Physical Education, Fitness and Sports, 2019, 1(2):04-06.
[7] Nugroho S, Nasrulloh A, Karyono T H, et al. Effect of intensity and interval levels of trapping circuit training on the physical condition of badminton players[J]. Journal of Physical Education and Sport, 2021, 21(3):1981-1987.
[8] Pounraj, Jaskar D R, Ranjith R M, et al. Consequence of Jump Rope Training and Kettle Bell Training on Selected Agility and Muscular Strength of College Men Badminton Players[J]. Xi'an Dianzi Keji Daxue Xuebao/Journal of Xidian University, 2020, 14(5):664-669.
[9] Baydin A G, Pearlmutter B A, Radul A A, et al. Automatic differentiation in machine learning: A survey [J]. Journal of Machine Learning Research, 2018, 18(153):1-43.
[10] Butler K T, Davies D W, Hugh C, et al. Machine learning for molecular and materials science[J]. Nature, 2018, 559(7715):547-555.
[11] Malta T M, Sokolov A, Gentles A J, et al. Machine Learning Identifies Stemness Features Associated with Oncogenic Dedifferentiation [J]. Cell, 2018, 173(2):338-354.

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