Location via proxy:   [ UP ]  
[Report a bug]   [Manage cookies]                
loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

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.

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 70.40.220.129

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

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

- Science and Technology Publications, Lda.
RESOURCES

Proceedings

Papers

Authors

Ontology

CONTACTS

Science and Technology Publications, Lda
Avenida de S. Francisco Xavier, Lote 7 Cv. C,
2900-616 Setúbal, Portugal.

Phone: +351 265 520 185 (National fixed network call)
Fax: +351 265 520 186
Email: info@scitepress.org

EXTERNAL LINKS

PRIMORIS

INSTICC

SCITEVENTS

CROSSREF

PROCEEDINGS SUBMITTED FOR INDEXATION BY:

dblp

Ei Compendex

SCOPUS

Semantic Scholar

Google Scholar

Microsoft Academic