This invention provides a wearable-free intelligent monitoring and training guidance method and
system for multiple sports based on depth vision AI. It acquires 3D human image data of
athletes through depth vision acquisition devices, extracts spatial coordinate sequences of human joints, and calculates joint kinematic parameters. Based on human kinetic chain theory and motion efficiency patterns, it constructs a universal
motion analysis model for multiple sports, enabling automatic performance calculation and violation identification for various sports such as counting, distance, and ball games. Simultaneously, it combines non-contact physiological parameter detection technology to acquire
athletes'
heart rate and
blood pressure data. Using the AHP-CRITIC
hybrid weighted method, it comprehensively evaluates joint
range of motion, motion stability, body symmetry, and physiological state, generating a sports guidance report that includes analysis of movement weaknesses and personalized training plans. This invention achieves high-precision sports monitoring and scientific training guidance for multiple scenarios and multiple participants simultaneously without requiring any wearable sensor devices.