Absolute Reliability of Gait Parameters Acquired With Markerless Motion Capture in Living Domains

June 30, 2022
Theia
BIO
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Summary

An excerpt from a new publication in Frontiers in Human Neuroscience validating the use of Theia3D for gait biomechanics research in populations with movement disorders — demonstrating accuracy comparable to traditional marker-based systems.

Editor's Note: The following summary details independent academic research conducted in clinical research settings. Theia3D is an offline software solution engineered exclusively for research and human performance analysis.

Sherveen Riazati, Theresa E. McGuirk, Elliott S. Perry, Wandasun B. Sihanath and Carolynn Patten

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Purpose‍

To examine the between-day absolute reliability of gait parameters acquired with Theia3D markerless motion capture for use in biomechanical and research settings.

Methods‍

Twenty-one participants aged 18-73 years were recruited in community locations to perform two walking tasks at self-selected and fastest-comfortable walking speeds. Joint angle kinematics and spatiotemporal parameters were extracted to determine absolute reliability between days.

Results‍

Markerless motion capture produced low measurement error for kinematic full curve analysis with RMSDs ranging between 0.96° and 3.71° across all joints and planes for both walking tasks. Discrete point analysis produced SEM values ranging between 0.91° and 3.25°. The highest measurement errors were observed in the transverse plane, with SEM >5° for ankle and knee range of motion. For the majority of spatiotemporal parameters, markerless motion capture produced low SEM values and SEM% below 10%.

Conclusion‍

Markerless motion capture using Theia3D offers reliable gait biomechanics research suitable for biomechanical and research use.

To read the full article in Frontiers in Human Neuroscience, click here.

To learn more about Theia3D, click here to book a demo.

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