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bioRxiv · 10.1101/2022.11.08.515577

Description, Development and Dissemination of Two Consistent Marker-based and Markerless Multibody Models

Lahkar, B. K.·Chaumeil, A.·Dumas, R.·Muller, A.·Robert, T.
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Abstract

In human movement analysis, multibody models are an indispensable part of the process both for marker-based and video-based markerless approaches. Constituents (segments, joint constraints, body segment inertial parameters etc.) of such models and modelers choice play an important role in the accuracy of estimated results (segmental and joint kinematics, segmental and whole-body center of mass positions etc.). For marker-based method, although standard models exist, particularly for the lower extremity (e.g., Conventional Gait Model or models embedded in OpenSim), there seems to be a lack of consolidated explanation on the constituents of the whole-body model. For the markerless approach, multibody kinematic models (e.g., the Theia3D model) have been in use lately. However, there is no clear explanation on the estimated quantities (e.g., joint centers, body surface landmarks etc.) and their relation to the underlying anatomy. This also motivates the need for a description of the markerless multibody model. Moreover, comparing markerless results to those of classical marker-based method is currently the most commonly used approach for evaluation of markerless approaches. This study first aims to develop and describe a whole-body marker-based model ready to be used for human movement analysis. Second, the markerless multibody model embedded in Theia3D is described and inertial parameters are redefined. We also report assessment of the markerless approach compared to marker-based method for a static T-pose performed by 15 subjects. Finally, we disseminate the marker-based and markerless multibody models for their use in Visual3D.

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Lahkar, B. K., Chaumeil, A., Dumas, R., Muller, A., Robert, T.. 2022-11-09. Description, Development and Dissemination of Two Consistent Marker-based and Markerless Multibody Models. https://doi.org/10.1101/2022.11.08.515577

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