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  4. Reconstruction of occluded pelvis markers during marker-based motion capture with industrial exoskeletons
 
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2025
Journal Article
Title

Reconstruction of occluded pelvis markers during marker-based motion capture with industrial exoskeletons

Abstract
Industrial back support exoskeletons are a promising solution to alleviate lumbar musculoskeletal strain. Due to the complexity of spinal loading, evaluation of EMG data alone has been considered insufficient to assess their support effects, and complementary kinematic and dynamic data are required. However, the acquisition of marker-based kinematics is challenging with exoskeletons, as anatomical reference points, particularly on the pelvis, are occluded by exoskeleton structures. The aim of this study was therefore to develop and validate a method to reliably reconstruct the occluded pelvic markers. The movement data of six subjects, for whom pelvic markers could be placed while wearing an exoskeleton, were used to test the reconstructions and compare them to anatomical landmarks during lifting, holding and walking. Two separate approaches were used for the reconstruction. One used a reference coordinate system based on only exoskeleton markers (EXO), as has been suggested in the literature, while our proposed method adds a technical marker in the lumbar region (LUMB) to compensate for any shifting between exoskeleton and pelvis. Reconstruction with EXO yielded on average an absolute linear deviation of 54 mm ± 16 mm (mean ± 1SD) compared to anatomical markers. The additional marker in LUMB reduced mean deviations to 14 mm ± 7 mm (mean ± 1SD). Both methods were compared to reference values from the literature for expected variances due to marker placement and soft tissue artifacts. For LUMB 99% of reconstructions were within the defined threshold of 24 mm ±9 mm while for EXO 91% were outside.
Author(s)
Johns, Jasper
Deutsche Gesetzliche Unfallversicherung
Bender, A.
Berliner Institut für Gesundheitsforschung
Glitsch, U.
Deutsche Gesetzliche Unfallversicherung
Schmidt-Bleek, L.
Berliner Institut für Gesundheitsforschung
Dymke, J.
Berliner Institut für Gesundheitsforschung
Brandl, Christopher  
Fraunhofer-Institut für Kommunikation, Informationsverarbeitung und Ergonomie FKIE  
Damm, P.
Berliner Institut für Gesundheitsforschung
Heinrich, K.
Deutsche Gesetzliche Unfallversicherung
Journal
Computer methods in biomechanics and biomedical engineering  
DOI
10.1080/10255842.2024.2350592
Language
English
Fraunhofer-Institut für Kommunikation, Informationsverarbeitung und Ergonomie FKIE  
Keyword(s)
  • anatomical markers

  • Exoskeleton

  • kinematics

  • motion capture

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