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  5. Personalized motion analysis with consideration of body segment shapes

Personalized motion analysis with consideration of body segment shapes

Publication date
2022-09-15
Document type
Konferenzbeitrag
Author
Greve, Daniel  
Tiator, Marcel
Kreischer, Christian  
Geiger, Christian
Organisational unit
Elektrische Maschinen und Antriebssysteme  
DTEC.bw  
DOI
10.1145/3543758.3549890
URI
https://openhsu.ub.hsu-hh.de/handle/10.24405/22107
Scopus ID
2-s2.0-85139166655
Conference
Mensch und Computer 2022 (MuC '22) ; Darmstadt, Germany ; September 4–7, 2022
Publisher
ACM
Book title
Proceedings of Mensch und Computer 2022
ISBN
978-1-4503-9690-5
First page
467
Last page
471
Peer-reviewed
✅
Part of the university bibliography
✅
Additional Information
Language
English
Keyword
Body scanning
Exoskeleton
Human model
Segmentation
Tracking
dtec.bw
Abstract
Our aim is the configuration and evaluation of individual exoskeletons. To do so, we decided to analyze individual biomechanical models of 3D scanned human bodies and subsequent motions in OpenSim (OSim). Other than most existing approaches, our biomechanical model is reduced to be well suited for the fundamental assessment of exoskeletons. To create the model, parameters are derived from body segment shapes. Further, motion trajectories from various tracking systems can be integrated due to the utilization of Mirevi Motion Hub (MMH). Tools are provided in order to cut the scanned body into segments, to automatically calculate mass as well as inertia properties and to integrate them in an OSim model. In addition, we propose a conversion from the MMH file format into an OSim readable file format. Overall, we consider our solution as flexible, as we only assume a mesh as output of the body scan and as different tracking systems can be leveraged by using the MMH middleware. Future work will address the evaluation of our framework.
Version
Published version
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