Research on the Safety Prediction Method of Long Jump in Big Data

Abstract

The long jump has a great influence on sports events, but the long jump athletes are vulnerable in training and their safety cannot be guaranteed. Therefore, this paper puts forward the research on the safety prediction method of long jump movement under big data. Through the research on the sport form characteristics of long jump athletes, this paper analyzes the athletes' physical quality and training mode, so as to develop the method to guarantee the safety prediction of long jump athletes. This paper makes a comparative analysis on the safety prediction methods of big data long jumpers. The experimental data shows that the safety prediction methods of big data long jumpers are 16.8% higher than the traditional methods. The prediction accuracy is better, the prediction time is shortened, and the safety of athletes can be better guaranteed(Abstract).