Basketball Sports Posture Recognition based on Neural Computing and Visual Sensor

In basketball training, the analysis of athletes can visually show the performance of athletes for coaches, formulate corresponding training plans, and improve team performance. With the application of video analysis technology, it is possible to analyze the actions of basketball players in training, introduce methods for estimating body posture, and provide players with accurate action analysis results. Based on the vision sensor, this paper combines neural computing and neural network algorithms to study the recognition of basketball gestures.