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01 / 03 · CAPTURE

THE SIGNAL

First, we capture the hands of patients with Parkinson's Disease through our headset. over multiple games.

Both hands, 60 frames a second: position, rotation and sub‑millimeter oscillation, recovered by markerless optical hand tracking on the headset.

No gloves. No markers.

02 / 03 · ANALYZE

THE SIGNATURE

Then we read it.

We differentiate the signal: position to velocity to acceleration to jerk, and an FFT surfaces the tremor in the 3–12 Hz band and names its type. Finger‑taps expose bradykinesia in their fading amplitude.

Thirteen derived biomarkers, extracted live and reproducible to be replayed back to researchers and doctors.

03 / 03 · SCORE

THE SCORE

Finally, the read.

An on‑device neural model turns the signature into a motor‑severity or surgical readiness score, referenced to the MDS‑UPDRS scale a neurologist would use to assess Parkinson's Disease severity.