Biomechanics
Injury Risk Signals
Biomechanical drift can appear weeks before clinical symptoms. A research program to catch it early — every athlete measured against their own baseline, with thresholds personalized per player, role, and load.
Where this shows upPersonal PerformanceTeam IntelligenceLive preview
What it is
Movement change is information. Under fatigue, under load, or on the way back from injury, movement patterns drift — stride symmetry, deceleration mechanics, coordination timing. Injury risk signals is our research program for catching that drift early: measuring every athlete against their own baseline and flagging changes that warrant clinical attention.
What this is not: a prediction that an injury will happen. WithoutBall surfaces movement-pattern change with evidence attached; the judgment about what it means belongs to clinicians and performance staff.
How it works
Each athlete's movement signatures form a personal baseline distribution. New sessions are embedded into the same space and measured as distances from that baseline — asymmetry drift, coordination change, response to load. Concept probes show that biomechanically meaningful directions, knee asymmetry among them, are readable from embeddings; results and caveats are documented. Population-scale early warning is a data-scale milestone: it needs corpora far beyond today's proof of concept, and clinical partners to validate against outcomes.
What it would make possible
The deliverable this program is built toward: change flags a clinician can interrogate — each one arriving with the movement evidence behind it.
| Parameter | Value | Notes |
|---|---|---|
| Baseline | personal signature distribution | Every athlete is compared to themselves first. |
| Signals | asymmetry · coordination · load response | Drift measured per signal, over sessions. |
| Output | change flags + evidence windows | Linked segments prepared for clinical review. |
| Boundary | not a diagnosis | Supports clinical attention; never replaces it. |
Status & roadmap
Research. The measurement layer — signatures, baselines, concept probes — exists at proof-of-concept scale. No detection or prediction performance is claimed, and none will be until it survives evaluation with clinical collaborators.