Turning expert judgment into reproducible research data
Two physiotherapists can watch the same squat and reach different conclusions - and there is usually no record of what they actually judged, or how much they agreed. PhysioMatrix gives clinical researchers a structured way to record, score, and measure agreement on movement quality, so a rubric can be validated instead of just trusted.
Every exercise is recorded simultaneously from front, side, mid-left, and mid-right cameras, so a reviewer never has to guess what a bad viewing angle hid.
Evaluators rate each defined criterion on the same 1-5 scale, independently of one another - no evaluator sees another's scores before submitting their own.
Every exercise reviewed by more than one evaluator gets a real reliability score: mean pairwise agreement and a linear-weighted Cohen's Kappa per criterion, not just a review count.
The resulting scored, multi-angle dataset and the platform itself are released under Apache 2.0 - built to be checked, reused, and extended, not just looked at.
Built at CIIRC CTU (Czech Institute of Informatics, Robotics and Cybernetics, Czech Technical University in Prague) by Jindřich Adolf.
In cooperation with the 2nd Faculty of Medicine, Charles University, represented by Václav Pecka.