The invention discloses a
physical fitness evaluation method based on
human skeleton trajectory tracking, which comprises the following steps: S1, acquiring whole-process video data of a
physical fitness test through video acquisition equipment, and generating a video frame according to an acquisition frequency; s2,
processing the video frame by using a skeleton dynamic analysis
algorithm, and extracting
human skeleton key points; s3, extracting identity features of the testee through a motion map
identity recognition network, and tracking and confirming the identity features; s4, performing
action recognition, fragment segmentation and compliance judgment on the skeleton key point
time sequence track; s5, aiming at the abnormal skeleton key points, performing
complementation and
time sequence smoothing by adopting an
inverse kinematics inference method; s6, inputting the complete skeleton key point
time sequence data into the
human body action evaluation model for
processing, and quantizing and outputting a
physical ability evaluation index; and S7, generating a
physical ability evaluation report and giving action feedback and optimization suggestions. According to the invention, objectivity, accuracy and intelligent level of
physical ability evaluation are effectively improved.