Know the exercise
Each movement maps to a clinical protocol: phase structure, target joint ranges, and the compensation patterns the system must rule out.
Protocol routing · movement phase modelPausen rebuilds your movement in 3D from a short exercise video and turns it into clear, evidence-backed corrections. No wearables, no markers, no lab.
Watch the source video, the tracked joints, and the 3D reconstruction on one shared timeline. Then read the feedback Pausen delivers.
In production, the AI receives compact extracted measurements, not a full 3D stream. The 3D view is shown here to make the evidence easy to see.
Pausen runs a layered pipeline. It starts with lightweight pose estimation, validates every measurement, and escalates to full 3D reconstruction only when it can change the clinical answer.
Each movement maps to a clinical protocol: phase structure, target joint ranges, and the compensation patterns the system must rule out.
Protocol routing · movement phase modelMonocular video becomes per-joint kinematic traces. Measurements pass temporal-smoothness and anatomical-plausibility checks before they count.
2D/3D pose estimation · confidence gatingA vision-language model audits the validated evidence and asks one question: is this sufficient for a verdict? Full 3D body reconstruction runs only when it can change the criterion.
VLM evidence critic · adaptive escalationScoring stays rule-grounded and auditable. The output is an overall verdict, prioritized corrections in patient language, and a clinician-readable evidence trail.
Deterministic scoring · clinical scorecardThe critic works from a compact evidence packet of roughly 20 KB per movement segment. Full pipeline internals are shared in partner conversations.
Pausen connects objective camera evidence to the one thing patients need most: a correction they can understand and act on.