Národní úložiště šedé literatury Nalezeno 1 záznamů.  Hledání trvalo 0.01 vteřin. 
App Supporting Strength Sports Training
Klem, Richard ; Tesařová, Alena (oponent) ; Herout, Adam (vedoucí práce)
This thesis presents a novel approach for strength sports performance analysis using a human pose estimation machine learning model. The implemented solution employs the RTMPose model to estimate keypoints, then derive the barbell position from the wrist coordinates, and compute performance metrics without requiring specific camera angles or visible weight plates. The proposed method enhances traditional resistance training by providing feedback and performance metrics such as mean velocity. The solution was proved effective in both gym and home environments, even without barbells. Extensive experiments demonstrate the robustness and wide usability of the solution. Comparison with the professional system Qualisys confirms the validity of the application results.

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