Feasibility of Markerless Motion Capture for Three-Dimensional Gait Assessment in Community Settings

June 23, 2022
Theia
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Recent Posts
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Summary

An excerpt from a new publication in Frontiers in Human Neuroscience validating the use of markerless motion capture as a digital biomarker.

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.

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

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Purpose‍

To determine the feasibility of markerless motion capture using Theia3D for three-dimensional gait biomechanics research in community-dwelling living domains.

Methods‍

Twenty-one participants aged 18-73 years performed walking trials in community research settings using Theia3D markerless motion capture. Gait kinematics and spatiotemporal parameters were extracted and compared with laboratory-based measurements.

Results‍

Markerless motion capture demonstrated feasibility for gait biomechanics research in community settings, with acceptable data quality for key spatiotemporal and kinematic parameters across diverse research environments.

Conclusion‍

Theia3D markerless motion capture is feasible for three-dimensional gait biomechanics research in community-dwelling living domains, supporting its use in large-scale, real-world movement research.

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

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

Recent Posts
A Major Research Milestone for Theia3D
More than 50 independent, peer-reviewed research publications now cite, evaluate or review Theia3D across domains including gait, sports performance, postural control, upper-extremity movement and other biomechanics applications. These publications are available in world-leading journals including Journal of Biomechanics, Journal of Applied Biomechanics, Gait & Posture and Clinical Biomechanics. Together, they represent a growing body of evidence across different movements, populations and environments, reinforcing Theia3D’s position as the most extensively validated markerless motion capture system.
Beyond The Radar Gun: How Dean Jackson uses Theia3D For Incremental Velocity Analysis
This article is a first in a miniseries that breaks down what motion capture can show beyond radar, ball data, and standard video. In this first installment, Dean breaks down how he uses Incremental Velocity Analysis, or IVA, to study what changes biomechanically as pitchers move closer and closer to max output.
New Research on Theia3D: Comparing Markerless and Marker-Based Shoulder Kinematics Across Full Arm Range of Motion
A 2025 study published in the Journal of Biomechanics compared shoulder kinematics measured with Theia3D markerless motion capture against gold-standard marker-based motion capture across full arm ranges of motion. The results show strong agreement for many movements, particularly in the coronal plane, while also highlighting where caution is still required, especially at the extremes of ranges of motion and in transverse-plane rotations.
In this blog
Summary