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

Abstract: 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.

Location
Deutsche Nationalbibliothek Frankfurt am Main
Extent
Online-Ressource
Language
Englisch

Bibliographic citation
Accuracy Evaluation of 3D Pose Estimation with MediaPipe Pose for Physical Exercises ; volume:9 ; number:1 ; year:2023 ; pages:563-566 ; extent:4
Current directions in biomedical engineering ; 9, Heft 1 (2023), 563-566 (gesamt 4)

DOI
10.1515/cdbme-2023-1141
URN
urn:nbn:de:101:1-2023092214062710013913
Rights
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
Last update
14.08.2025, 10:45 AM CEST

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