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Authors: Linda Büker 1 ; Dennis Bussenius 1 ; Eva Schobert 2 ; Andreas Hein 1 and Sandra Hellmers 1

Affiliations: 1 Assistance Systems and Medical Device Technology, Carl von Ossietzky University Oldenburg, Oldenburg, Germany ; 2 Herodikos GmbH, Hans-Schütte-Str. 20, 26316 Varel, Germany

Keyword(s): Azure Kinect DK, Health, Human Pose Analysis, Exercise Analysis.

Abstract: Back pain is a significant condition worldwide that is becoming more common over the years. Although individually adapted exercise therapy would be very successful, the problem is - due to lack of capacity it is rarely prescribed by physicians. We analyse if it is feasible to automatically track and evaluate the performance of an exercise used in a fitness check to support physicians in adapting exercise therapy and thereby providing that kind of treatment to more patients. A depth camera with body tracking is used to detect the pose of the subjects. We have developed a system that evaluates the execution of an exercise in terms of correct performance based on the recognized joint positions. The feasibility study conducted shows, that it is important to avoid as many occlusions of any kind as possible to get the best achievable body tracking. Then, however, the evaluation of the performance of the tested finger-floor-distance exercise seems feasible.

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Paper citation in several formats:
Büker, L.; Bussenius, D.; Schobert, E.; Hein, A. and Hellmers, S. (2023). Camera-Based Tracking and Evaluation of the Performance of a Fitness Exercise. In Proceedings of the 16th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2023) - HEALTHINF; ISBN 978-989-758-631-6; ISSN 2184-4305, SciTePress, pages 489-496. DOI: 10.5220/0011755700003414

@conference{healthinf23,
author={Linda Büker. and Dennis Bussenius. and Eva Schobert. and Andreas Hein. and Sandra Hellmers.},
title={Camera-Based Tracking and Evaluation of the Performance of a Fitness Exercise},
booktitle={Proceedings of the 16th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2023) - HEALTHINF},
year={2023},
pages={489-496},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011755700003414},
isbn={978-989-758-631-6},
issn={2184-4305},
}

TY - CONF

JO - Proceedings of the 16th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2023) - HEALTHINF
TI - Camera-Based Tracking and Evaluation of the Performance of a Fitness Exercise
SN - 978-989-758-631-6
IS - 2184-4305
AU - Büker, L.
AU - Bussenius, D.
AU - Schobert, E.
AU - Hein, A.
AU - Hellmers, S.
PY - 2023
SP - 489
EP - 496
DO - 10.5220/0011755700003414
PB - SciTePress

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