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Authors: Lars Lehmann 1 ; Christian Wiede 2 and Gangolf Hirtz 1

Affiliations: 1 Digital Signal Processing and Circuit Technology, Chemnitz University, Reichenhainer Str. 70, Chemnitz, Germany ; 2 Fraunhofer IMS, Finkenstr. 61, Duisburg, Germany

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

Abstract: In medical training therapy (MTT), the precise execution of the training exercises is of decisive importance for the success of the therapy. Currently, a therapist has to treat up to 15 patients simultaneously on an outpatient basis. Recently an assistance system that can assess both the quantity and the quality of movement was developed. A feedback system models target-oriented recommendations for actions and communicates them directly to the patient. A hardware accelerated visualisation system using OpenGL and GLSL shaders was realised to animate a real-time rendered 3D mesh connected to an extracted motion skeleton. An avatar visualises the error by colouring the body regions with traffic light trenches. The individualisation of the underlying three-dimensional avatar increases the willingness of the patients to participate in the exercises which they perform autonomously without the supervision of therapists.

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Paper citation in several formats:
Lehmann, L.; Wiede, C. and Hirtz, G. (2020). Individual Avatar Skeletal based Animation Feedback for Assisted Motion Control. In Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2020) - Volume 4: VISAPP; ISBN 978-989-758-402-2; ISSN 2184-4321, SciTePress, pages 206-213. DOI: 10.5220/0008922902060213

@conference{visapp20,
author={Lars Lehmann. and Christian Wiede. and Gangolf Hirtz.},
title={Individual Avatar Skeletal based Animation Feedback for Assisted Motion Control},
booktitle={Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2020) - Volume 4: VISAPP},
year={2020},
pages={206-213},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0008922902060213},
isbn={978-989-758-402-2},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2020) - Volume 4: VISAPP
TI - Individual Avatar Skeletal based Animation Feedback for Assisted Motion Control
SN - 978-989-758-402-2
IS - 2184-4321
AU - Lehmann, L.
AU - Wiede, C.
AU - Hirtz, G.
PY - 2020
SP - 206
EP - 213
DO - 10.5220/0008922902060213
PB - SciTePress

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