Resources
Articles, research, and guides on movement analysis for clinicians, performance staff, and researchers.
Introducing custom report layouts, in the app and in PDF
In our latest software update, we made your dashboard and report easily customizable
Nicolas Bellemans
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A Practitioner's Guide to 3D Movement Analysis
See the fundamentals in context. Download the full guide below.
Chris Polley
Uncovering the Mechanical Drivers of Hip and Knee Running Injuries
Join us on October 6 for an online webinar with Alex Peters, DPT, SCS, ATC
Antoine Falisse
How Accurate is Model Health
The full overview brings it together in one place: the numbers, the studies, and the joint-by-joint detail.
Chris Polley
When Is an Athlete Ready to Return to Sport? A Data-Led Approach [Recording available]
Vien Vu, Director of Rehabilitation for Football at Wake Forest, walks us through a session on using data, including 3D biomechanics, to guide return-to-sport decisions.
Nicolas Bellemans
The research behind the results
Research highlights, peer-reviewed studies, and technical whitepapers validating or leveraging Model Health across clinical, performance, and reserach settings.
Research highlights
Peer-reviewed studies validating or leveraging Model Health technology.
Marker data enhancement for markerless motion capture
Building on OpenCap original breakthrough, Antoine Falisse et al. (2025), developed a more accurate and generalizable model, named "marker enhancer", to predict the position of 43 anatomical markers from 20 keypoints identified from video. We trained this model on a large database of 1,433 hours of data from 1,176 subjects.
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