Research on Basketball Training Optimization System under Computer Big Data Technology

Abstract

Based on LAN technology, this paper developed an intelligent monitoring system for basketball training posture. First, the wireless sensing network is used to acquire the image information of the basketball training pose, and then the acquired image information is fused in three-dimensional fashion with a gray outline marker to obtain a visual imaging model, and the correctness of the basketball training pose is determined based on the pixel differential feature and visual imaging results. By analyzing the image features and performing automatic aggregation matching,this method combines the motion information features in the image with the local edge information, and combines it with the edge information entropy and characteristic values of the three-dimensional pose to construct an intelligent monitoring output optimization model. This paper introduces the development and design of an intelligent monitoring system for basketball sports attitude based on intelligent embedded technology. The simulation results show that the human mobility stability and performance of the system are strong.