Abstract:In order to improve the quality of basketball trainingꎬ this paper designs an intelligent monitoring system for bas ̄ ketball training posture based on LAN technology. Firstlyꎬ the wireless sensor network is used to collect the image informa ̄ tion of basketball training posturesꎬ and then the gray contour marker is used to implement the three-dimensional fusion of the collected image information and formvision imaging models. The effectiveness of basketball training postures are as ̄ sessed according to the vision imaging results and pixel difference quantity. And then this paper analyses the characteristics of the images for the automatic polymerization combined with marginal imagine information to conclude the dynamic charac ̄ teristicsꎬ combines the 3D posture layout characteristics and marginal information entropy to build optimized intelligent mo ̄ nitoring output models for the development of intelligent basketball training posture monitoring and control system provided with intelligent technologies. The simulation results show that the system has good man-machine interaction performance and strong stability.