Applied Mathematics and Nonlinear Sciences
Journal license

Journal

Applied Mathematics and Nonlinear Sciences


Volume
& Issue

Volume 7, Issue 2


Published
on

July 15, 2022


Pages

953-960


DOI

Article

Conventional Algorithms in Sports Training Based on Fractional Differential Equations

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Authors

Shaohong Pan Affiliation:
School of Physical Education, Xichang University, Xichang 615000, China


Abstract

Basketball is one of the sports that people love. This paper uses fractional differential equations to perform shot visual proofreading. At the same time, we propose a visual proofreading method for the optimal shooting angle. We extract the features of the shooting trajectory according to the distribution of corner points and edge contours of the trajectory image. So far, the automatic capture method of basketball shooting trajectory based on the fractional differential equation is completed. We found that the algorithm in this paper greatly improves the player’s shooting technique through experimental simulation research.


Keywords

Fractional differential equation, Sports training, Basketball shooting, Basketball trajectory, Shooting vision, 34A08


Citation

Pan, S. (2022). Conventional algorithms in sports training based on fractional differential equations. Applied Mathematics and Nonlinear Sciences, 7(2), 953–960. https://doi.org/10.2478/amns.2022.2.0082

Published by: Engineering Journals

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