Design of Motion Damage Estimation Model Based on Improved Recursive Neural Network Algorithm | Zendy

Jiaju Zhu | Zendy; S. Y. Hu | Zendy; Meng Zhang | Zendy

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Design of Motion Damage Estimation Model Based on Improved Recursive Neural Network Algorithm

Author(s) -

Jiaju Zhu,

S. Y. Hu,

Meng Zhang

Publication year - 2022

Publication title -

mobile information systems

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.346

H-Index - 34

eISSN - 1875-905X

pISSN - 1574-017X

DOI - 10.1155/2022/2018867

Subject(s) - computer science , athletes , sports injury , affect (linguistics) , estimation , clothing , artificial neural network , process (computing) , algorithm , simulation , physical medicine and rehabilitation , artificial intelligence , physical therapy , medicine , psychology , engineering , communication , systems engineering , archaeology , history , operating system

In recent years, the China’s rapid economic development and living standards of people have been improved, and the usage of clothing, food, housing, and transportation has increased. However, due to the prevalence of sports injuries and their high frequency of incidence, sports injury incidents do occur from time to time. Sports injury will not only affect the normal training of athletes and sports enthusiasts but also adversely affect their health. An estimation model of sports injury is designed based on an improved recursive neural network algorithm to reduce the incidence of sports injury in the process of physical exercise so that athletes and sports enthusiasts can reduce sports injury, which is conducive to physical health and sports health.

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