The application discloses a motion skill action posture intelligent evaluation method and
system, adopts a multi-
view camera array to synchronously collect a motion process video, extracts a
human body skeleton two-dimensional key point through an
improved algorithm, combines multi-view geometric constraints and Kalman filtering to reconstruct a three-dimensional
human body posture sequence, constructs a standard action posture
template library, realizes posture alignment of an evaluation object and a standard template through body proportion normalization
processing, completes action stage division and phased posture evaluation through a
dynamic time warping algorithm, calculates posture deviation and generates a graded deviation diagnosis report, and finally realizes superimposed
visual feedback of evaluation postures and standard postures through
augmented reality technology. The application can realize high-precision, quantifiable and phased intelligent evaluation of motion postures, eliminate the interference of individual morphological differences on evaluation results, accurately locate action deviation nodes, and provide intuitive interactive correction guidance.