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Authors: Lars Lehmann ; Roman Seidel and Gangolf Hirtz

Affiliation: Digital Signal Processing and Circuit Technology, Chemnitz University, Reichenhainer Str. 70, Chemnitz, Germany

Keyword(s): Segment Reference, Visualisation, Feedback Control, Assisted Motion Control, Motion Error Detection, 3D Realtime Animation.

Abstract: In a medical therapy, the exact execution of the training exercises developed by the therapist is a crucial task for the success of the therapy. Currently, a therapist has to treat up to 15 patients at the same time on an outpatient basis. To compensate this deficit, an automated assistance system needs to be created. Previous approaches have focused on a parameterised segment angle-based assessment for training exercise feedback. This work focuses on a reference-based approach. This reference is created by the therapist and thus corresponds to the ideal movement model and can be individually adapted to the patient. It is necessary to compare this reference with the patients’ real movement in real time, to detect deviations and to output them as errors. For this purpose, the reference can be adapted to the body size of the patient and the patients’ current position and orientation can be taken into account, or it can be described by reference segments, i.e. an angle-based comparison of the reference. Our work highlights the the segment and reference-based assessment approach and compares them to each other. (More)

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Paper citation in several formats:
Lehmann, L.; Seidel, R. and Hirtz, G. (2023). 3D Reference-Based Skeletal Movement Evaluation. In Proceedings of the 3rd International Conference on Image Processing and Vision Engineering - IMPROVE; ISBN 978-989-758-642-2; ISSN 2795-4943, SciTePress, pages 150-155. DOI: 10.5220/0011969200003497

@conference{improve23,
author={Lars Lehmann. and Roman Seidel. and Gangolf Hirtz.},
title={3D Reference-Based Skeletal Movement Evaluation},
booktitle={Proceedings of the 3rd International Conference on Image Processing and Vision Engineering - IMPROVE},
year={2023},
pages={150-155},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011969200003497},
isbn={978-989-758-642-2},
issn={2795-4943},
}

TY - CONF

JO - Proceedings of the 3rd International Conference on Image Processing and Vision Engineering - IMPROVE
TI - 3D Reference-Based Skeletal Movement Evaluation
SN - 978-989-758-642-2
IS - 2795-4943
AU - Lehmann, L.
AU - Seidel, R.
AU - Hirtz, G.
PY - 2023
SP - 150
EP - 155
DO - 10.5220/0011969200003497
PB - SciTePress