Biomechanics
Injury Risk Signals
Detect subtle biomechanical drift weeks before clinical symptoms appear — personalize thresholds per player, role, and load.
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 you get
| 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 substrate — 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.