Research on Image Recognition of Gymnastics Sports Injuries Based on Deep Learning

被引：0
|
作者：
Jia, Peng [1 ]
Xu, Yixiong [2 ]
机构：
[1] Jiangxi Normal Univ, Sch Phys Educ, Nanchang 330022, Peoples R China
[2] Nanchang Normal Univ, Sch Phys Educ, Nanchang 330032, Peoples R China
来源：
COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE | 2022年 / 2022卷
关键词：
D O I：
暂无
中图分类号：
Q [生物科学];
学科分类号：
07 ; 0710 ; 09 ;
摘要：
Gymnastics is an increasingly popular sport and an important event in the Olympic Games. However, the number of unavoidable injuries in sports is also increasing, and the treatment after the injury is very important. We reduce the harm caused by the injury through the identification and research of pictures. Image preprocessing and other methods can in-depth learn about gymnastics sports injuries. We identify the injured pictures of athletes to know the injury situation. Through the analysis of the force of the athletes during exercise, they can be better integrated into picture recognition for sports injuries. More appropriate prevention and treatment measures are suggested.
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页数：12
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