Researchers from Universidade de Lisboa and KU Leuven set out to evaluate the construct validity of Theia3D markerless motion capture for 3D gait analysis in healthy community-dwelling adults aged 65 and older. Their findings offer strong support for Theia3D’s use in real-world aging populations, especially for sagittal-plane kinematics and kinetics.

How accurate is markerless motion capture when gait speed changes? A new peer-reviewed study published in the Journal of Sports Sciences confirms that Theia3D can reliably capture sagittal-plane lower-limb kinematics during both walking and running at varying speeds as well as capturing kinematic responses to changes in speed, offering researchers and clinicians a validated alternative to traditional marker-based systems.

New peer-reviewed research confirms Theia3D’s ability to reliably capture complex movements beyond level walking, including ramps and stairs, in environments designed to simulate daily life.