The signal below is synthesized in your browser so you can see the recognition logic without the physical sensor. The device computes a rolling RMS of the left-trapezius EMG; when it crosses your personal threshold the state flips from relaxed to tense. Use the buttons to drive the muscle, or let it auto-cycle.
In the real product these chips are saved calibration datasets; each one trained the SVM classifier (StandardScaler → RBF SVC) on your own rest/tense recordings.
A synthetic workday recording reconstructed from the device's
on-flash Holter log. Each record is classified against the threshold and shaded
red (tense) or
green (relaxed). Drag the threshold
to watch the rest/tense split recompute — exactly how the real
/holter page rebuilds its timeline.
The clinical signal NeckQuest tracks is the absence of green rest gaps: long unbroken red stretches are the sustained low-level activity associated with neck/shoulder pain in occupational-EMG research.
Four steps turn raw muscle electricity into a personal tension map.
This is a prevention / training / wellbeing tool — not a medical device. See the project README for the full research basis and honest-scope notes.