Title: Prediction method of best running track of long distance shooting based on sliding window

Authors: Zhidao Chen

Addresses: Jiangxi Police Institute, Nanchang 330199, China

Abstract: In order to improve the accuracy of football shooting trajectory prediction, an optimal trajectory prediction method of football long-distance shooting based on sliding window is proposed. Firstly, the force model in the running process of football is constructed by using the sliding window. Secondly, the trajectory coordinates of football flying in the air are obtained, and the football mechanics analysis model is obtained by iteration; Then, the Euclidean distance measurement method is used to calculate the similarity of running track, and the dynamic time warping method is used to optimise the results; Finally, the best trajectory of shooting is predicted by fitting function, and the prediction result is corrected by sliding window. The experimental results show that the deviation of this method is always below 0.2, and the accuracy of trajectory prediction is as high as 99.9%, which meets the actual needs of football trajectory prediction.

Keywords: sliding window; football sport; long-range shooting; trajectory prediction; similarity calculation.

DOI: 10.1504/IJRIS.2022.125455

International Journal of Reasoning-based Intelligent Systems, 2022 Vol.14 No.2/3, pp.84 - 90

Received: 24 Feb 2022
Accepted: 27 Apr 2022
Published online: 09 Sep 2022 *

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