Accuracy and kinematics consistency of marker-based scaling approaches on a lower limb model: a comparative study with imagery data

Abstract

Medical images are not typically included in protocol of motion laboratories. Thus, accurate scaling of musculoskeletal models from optoelectronic data are important for any biomechanical analysis. The aim of the current study was to identify a scaling method based on optoelectronic data, inspired from literature, which could offer the best trade-off between accurate geometrical parameters (segment lengths, orientation of joint axes, marker coordinates) and consistent inverse kinematics outputs (kinematic error, joint angles). The methods were applied on 26 subjects and assessed with medical imagery building EOS-based models, considered as a reference. The main contribution of this paper is to show that the marker-based scaling followed by an optimisation of orientation joint axes and markers local coordinates, gives the most consistent scaling and joint angles with EOS-based models. Thus, when a non-invasive mean with an optoelectronic system is considered, a marker-based scaling is preliminary needed to get accurate segment lengths and to optimise joint axes and marker local coordinates to reduce kinematic errors.

Dimension Reduction of Anthropometric Measurements with Support Vector Machine for Regression: Application to a French Military Personnel Database

“…This method is interesting for markerless motion capture systems, especially for inertial measurement units [9] which mainly rely on anthropometrics for the scaling of kinematic chains. Also, the measurements provided by the SVM could be used as a new way to geometrically scale a musculoskeletal model through optimization techniques [10], [11], diminishing the number of actual measures to be done to scale the complete model. The method could also be applied to the prediction of non-palpated landmarks such as hip joint centers [12].…”

A penalty method for constrained multibody kinematics optimisation using a Levenberg–Marquardt algorithm

“…Both open loop and closed loop models were adjusted with geometrical parameters were taken from Dumas et al (2007); Pennestrì et al (2007); Seth et al (2016) and then scaled to subjects' size and mass using the CusToM scaling routine Muller et al (2019); Puchaud et al (2020) based on motion capture data.…”

Generic kinematical models of the French soldier from a clustered anthropometric database

“…segment lengths and anatomical landmarks were 'isometrically scaled' ensuring a good initial guess. Then, an optimisation scheme was applied to scale the model with the anthropometric measurements d (Puchaud et al 2019), it yielded to the following minimisation problem, optimising segment homothetic coefficients using interior-point method:…”