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

Abstract

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.

Predicting Player’s Healthiness Using Machine Learning

“…Image processing and machine learning techniques have been employed to analyze injuries in football players, yielding an accuracy of 81.2% [12] [13]. Additionally, injuries in dance and gymnastics have been explored, showcasing the versatility of imaging technology in diverse athletic disciplines [8] [14]. In 2017, 77 Chinese national basketball players were analyzed using X-ray and ultrasound technology to identify injuries in football competitors [7].…”