Comparison of markerless and marker-based motion capture systems using 95% functional limits of agreement in a linear mixed-effects modelling framework

Abstract

Biomechanics analysis of human movement has been proven useful for maintenance of health, injury prevention, and rehabilitation in both sports and clinical populations. A marker-based motion capture system is considered the gold standard method of measurement for three dimensional kinematics measurements. However, the application of markers to anatomical bony points is a time consuming process and constrained by inter-, intra-tester and session reliability issues. The emergence of novel markerless motion capture systems without the use of reflective markers is a rapidly growing field in motion analysis. However an assessment of the level of agreement of a markerless system with an established gold standard marker-based system is needed to ensure the applicability of a markerless system. An extra layer of complexity is involved as the kinematics measurements are functional responses. In this paper a new approach is proposed to generate 95% functional limits of agreement (fLoA) using the linear mixed-effects modelling framework for hierarchical study designs. This approach is attractive as it will allow practitioners to extend their use of linear mixed models to assess agreement in method comparison studies in all domains where functional responses are recorded.

Biomechanical Posture Analysis in Healthy Adults with Machine Learning: Applicability and Reliability

“…The validity of the MediaPipe joint inference tracking technique has been thoroughly investigated. Lafayette et al [27] conducted a quantitative evaluation of its angular estimation capabilities by comparing it to a gold-standard Qualisys motion capture system [28]. They found an excellent absolute relative clinical error and a strong correlation with Qualisys, with mean Pearson's coefficients of 0.80 and 0.91 for lower and upper limb movements.…”