Application of Linear Partial Differential Equation Theory in Guiding Football Scientific Training

Abstract

In this paper, the deep learning method is used to detect the training videos to obtain the prediction trajectory of football motion. At the same time, we propose a football tracking framework based on Kalman filtering. This paper uses the Kalman filter algorithm to track the football target. We give solutions to the target occlusion problem and the trajectory splitting problem. The study results found that the traditional simple prediction method affected the performance of the competition due to its low accuracy. In this paper, the Kalman filter prediction method is used to improve the accuracy of football trajectory prediction.

How the Game of Soccer can Foster Creative Research in Natural Sciences

“…Some of the recent literature examples of the contribution of scientific methods to soccer may include the utilization of machine learning for match outcome, physical performance, tactics and talent forecasting (Rico-González et al 2023); construction of tactical plans based on position tracking data analytics (Goes et al 2021); discernment of metabolic markers acting as post-match recovery indicators (Pérez-Castillo et al 2023); analyses of the impact of the score on ball-passing and other interactions between players (Maneiro et al 2023); the use of soccer for robot research platform testing purposes (Cheng 2022); the application of mathematical models and deep learning to guide training practices (Men 2023); the design of wearable wireless microprocessors for the prevention of ankle and other joint injuries (Li 2022); the probing of the relationship between the performance of soccer players and their adipose tissue mass (Hernández-Mosqueira et al 2022;Figueiredo et al 2021) and other anthropometric and fitness parameters (Ceballos-Gurrola et al 2021;Caballero-Ruíz et al 2019), or their hereditary genetic polymorphisms, such as ACTN3 R577X and ACE I/D (Arroyo Moya 2021); and other. Analytics making use of the real-time acquisition of positional data pertaining to the movement of the ball and of every player on the pitch so as to predict the goals and other key events in a game are intensely researched, but are yet to make groundbreaking strides (Rein & Memmert 2016;Mead et al 2023).…”