Shooting training posture correction feedback method and system based on intelligent analysis

Abstract

The present application provides a shooting training posture correction feedback method and system based on intelligent analysis. First, a real-time posture data set of a target object is obtained. This real-time posture data set contains multiple sets of posture collection data that are continuous in time and cover motion trajectories and physiological state characteristics. Then, motion features are extracted to obtain target and abnormal motion feature sets. Then, a posture correction parameter set containing motion adjustment direction parameters and physiological coordination optimization parameters is generated based on the dynamic difference between the two. Then, a real-time feedback instruction sequence is generated according to the posture correction parameter set. Finally, the real-time feedback instruction sequence is sent to a posture adjustment device to execute the training posture correction operation, thereby comprehensively considering the motion and physiological state to achieve intelligent and precise shooting training posture correction.

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