FIELD: computer technology.
SUBSTANCE: video stream is captured and transmitted to an open source neural network to obtain data on the position of the key points of the pose that constitutes the estimated movement of the user's exercise, in three dimensions in the given frame of the video stream, the subsequent recording frame by frame of the received data in turn into an associative array for each user pose and writing such an array to a file. Next, the positions of the key points are evaluated in turn for each pose of the user in real time in comparison with the data of the poses of the reference movement of a professional, obtained on the basis of the recording of the movements of a professional, by positioning a set of key points of the poses of the reference movement in accordance with the position and angle of rotation of the user in real time with respect to the source of the video stream, and further frame-by-frame comparison of the positions of such key points at a specific stage of the movement (exercise) by the user.
EFFECT: improved accuracy of recording and recognition of the posture of the user, which is the object of evaluation.
13 cl, 4 dwg
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Authors
Dates
2023-08-08—Published
2022-09-18—Filed