The invention relates to the technical field of intelligent exercise evaluation, in particular to a
rope skipping test method,
system and equipment based on
artificial intelligence, and the method comprises the following steps: analyzing a
rope skipping image training recognition model, adjusting
model configuration by combining shoulder and hip proportions, recognizing failure
rope swinging actions, counting
jumping rhythms to obtain test records, and analyzing the
jumping rhythms to evaluate the
control level. According to the method, key jump frames are screened through speed and direction changes to establish behavior samples, an
action recognition model is trained, dependence on template actions is reduced, structural parameters are constructed in combination with the vertical proportion from the shoulder to the hip and the vertical proportion from the hip to the
ankle to be used for
body type classification, jump amplitude judgment has individual adaptability, and the accuracy and the reliability of the
system are improved. The space
coincidence rate sequence of the
wrist track is called to screen out the failure rope swinging behavior, misrecognition caused by only depending on the amplitude and the frequency is avoided, the
rhythm stable section is recognized through the combination mode of the jump interval difference fluctuation range and the
paragraph average jump frequency, and the
rhythm control level of the rope skipping person is evaluated.