Accuracy Evaluation of 3D Pose Estimation with MediaPipe Pose for Physical Exercises

With the recent increase in interest in machine learning and computer vision, camera-based pose estimation has emerged as a promising new technology. One of the most popular libraries for camera-based pose estimation is MediaPipe Pose due to its computational efficiency, ease of use, and the fact th...

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Bibliographic Details
Published in:Current directions in biomedical engineering 2023-09, Vol.9 (1), p.563-566
Main Authors: Dill, Sebastian, Rösch, Andreas, Rohr, Maurice, Güney, Gökhan, De Witte, Luisa, Schwartz, Elias, Hoog Antink, Christoph
Format: Article
Language:English
Subjects:
Accuracy Evaluation
Computer Vision
MediaPipe
Motion Analysis
Pose Estimation
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Summary:With the recent increase in interest in machine learning and computer vision, camera-based pose estimation has emerged as a promising new technology. One of the most popular libraries for camera-based pose estimation is MediaPipe Pose due to its computational efficiency, ease of use, and the fact that it is open-source. However, little work has been performed to establish how accurate the library is and whether it is suitable for usage in, for example, physical therapy. This paper aims to provide an initial assessment of this. We find that the pose estimation is highly dependent on the camera’s viewing angle as well as the performed exercise. While high accuracy can be achieved under optimal conditions, the accuracy quickly decreases when the conditions are less favourable.
ISSN:2364-5504
2364-5504
DOI:10.1515/cdbme-2023-1141