A Basketball Training System Based on Big Data Technology to Promote Intelligent Physical Education Research

The development of basketball in today's world has organically combined training and competition. However, because it cannot keep up with the development of the times and the advanced training concepts of modern basketball, it cannot keep pace with the times, cannot adapt to the development of modern basketball, and cannot adapt to the training methods and training activities of modern basketball. During the practice phase, single technical movements are repeatedly practiced, as well as lack of confrontation, lack of enthusiasm for skills, tactical practice methods, and no goals without the ball. This not only led to the stagnation of the effectiveness of basketball training, but also restricted the development of physical education. In order to study the online sports training system to promote intelligent sports teaching, this paper has introduced big data analysis technology, established the corresponding big data intelligent sports training system, and compared it with the intelligent sports training system based on visual sensing. Experimental studies have shown that the average packet loss rate of the intelligent sports training system based on big data is 0.21%, the average motion recognition rate is 96.56%, and the average motion recognition time is 0.295s; The packet loss rate is 0.54%, the average motion recognition rate is 90.97%, and the average motion recognition time is 0.304s. Data comparison has shown that the smart sports training system based on big data has higher recognition accuracy, faster recognition speed and less packet loss than the smart sports training system based on visual sensing. The system applies online sports. A better effect in the training system can bring greater improvement to the athlete.