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Resources

Articles, research, and guides on movement analysis for clinicians, performance staff, and researchers.

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Webinars

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

June 26, 2026  •  5 min read
Company

Norwich City FC Selects Model Health to Advance Movement Analysis

Model Health is excited to welcome Norwich City FC. Here's why they chose us.

Steve Oosterhof

June 25, 2026  •  2 min read
Product

Automated multi-view sprint analysis and S-MAS

Introducing our latest module dedicated to Sprinting and S-MAS

Antoine Falisse

May 27, 2026  •  5 min read
Company

Model Health and Kinvent Announce Strategic Partnership

Steve Oosterhof

April 14, 2026  •  3 min read
SDK

Introducing the Model Health SDK

Embed lab-grade motion analysis into your product. Built for applications in sports, physical therapy, performance, rehabilitation, or digital health.

Antoine Falisse

March 10, 2026  •  3 min read
Product

Cutting Edge: Automated Cut Analysis

We’re expanding our analytics stack with a new module that automates the analysis of cutting maneuvers. Building on our 5-0-5 test module, it now covers any cut, including 45° and 90° changes of direction.

Thomas Vleeschouwers

January 13, 2026  •  3 min read
Built on science

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

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.

OpenCap: Human movement dynamics from smartphone videos

We validated OpenCap, the foundation technology under Model Health, against laboratory-based measurements in a cohort of individuals for a set of tasks including gait, squat, sit-to-stand, and drop vertical jump.

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