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Reliability of Markerless Motion Capture Systems for Assessing Movement Screenings.

Jonathan D Hauenstein¹, Alan Huebner¹, John P Wagle²

¹Department of Applied and Computational Mathematics and Statistics, University of Notre Dame, Notre Dame, Indiana, USA.

Orthopaedic Journal of Sports Medicine

|March 13, 2024

Summary

This summary is machine-generated.

Markerless motion capture systems offer reliable joint position measurements for movement screenings, enhancing objective evaluations of intervention effectiveness. These systems aid clinicians in consistently assessing movement patterns across different setups and times.

Keywords:

interrater reliability intrarater reliability kinematic variables markerless motion capture movement screening

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Area of Science:

Biomechanics
Sports Science
Motion Analysis

Background:

Movement screenings are crucial for identifying detrimental movement patterns.
Markerless motion capture technology enables three-dimensional motion tracking without physical markers.

Purpose of the Study:

To assess the reliability of markerless motion capture systems for movement screenings.
To compare results across multiple systems and collection periods.

Main Methods:

Investigated inter- and intrarater reliability of a markerless motion capture system.
Analyzed 39 kinematic variables from 10 fundamental upper and lower body movements in 21 participants (18-22 years).
Utilized intraclass correlation coefficient (ICC) for relative error and residual standard error (RSE) for absolute error.

Main Results:

High inter- and intrarater reliability (ICC > 0.90) for most kinematic variables.
Moderate reliability for maximum knee valgus angles (ICC, 0.59-0.82), with absolute error (RSE) below 1.3°.
Demonstrated consistent measurements across different systems and collection times.

Conclusions:

Markerless motion capture provides reliable joint position data for objective movement screening.
Facilitates more accurate evaluation of intervention outcomes.
Practitioners should consider both relative and absolute agreement metrics.