A new study from Liverpool John Moores University (LJMU) compared traditional marker-based gait analysis with Theia3D’s markerless motion capture in typically developing children aged 6-13 years. The findings reinforce that markerless systems like Theia3D can deliver biomechanically meaningful data in pediatric populations while reducing preparation time and participant burden, important steps toward broader clinical adoption.

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.