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International Journal of Medicine and Science of Physical Activity and Sport

International Journal of Medicine and Science of Physical Activity and Sport

REVISTA INTERNACIONAL DE MEDICINA Y CIENCIAS DE LA ACTIVIDAD FÍSICA Y EL DEPORTE

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A METHOD FOR PREDICTING SPORTS LOAD DATA IN COLLEGES AND UNIVERSITIES BASED ON DEEP LEARNING

Issue Volume 24, Number 94, 2024 Articles 
Yue Gu
Department of police tactics and sports, Jiangxi Police Institute, Nanchang,330199, Jiangxi, China.
Xue Song Du
College of Physical Education, Hengshui University, Hengshui 053000, Hebei, China
Guo Liang Yuan
College of Physical Education, Hengshui University, Hengshui 053000, Hebei, China.

Abstract

In the face of the problem of low accuracy of university sports load data prediction method, a deep learning university sports load data prediction method is designed. Identify the style and rules of human movement, extract the characteristics of time domain to calculate in frequency domain, construct the target tracking model by deep learning, calculate the error of the output layer, extract the characteristics of college sports load, judge the rationality of the movement contact configuration between bones, and design the data prediction method. Experimental results: The average prediction accuracy of the college sports load data prediction method in this paper and the other two methods are 0.417, 0.342 and 0.333 respectively, indicating that the precision of the college sports load data prediction method designed after the full integration of deep learning technology has been improved.

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Periodicidad Trimestral/Quartely
Revista multidisciplinar de las Ciencias del Deporte
ISSN: 1577-0354
All journal articles are published in Spanish together with their corresponding translation into English

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