Zero-input meal detection
Meal Tracker detects every meal from biosignals alone — skin temperature, heart rhythm, wrist motion. No logging. No photos. No input.
01 — The problem
Every diet app asks you to do the work — photograph, search, weigh, confirm. Most people stop within two weeks, and the data stops with them. The failure was never willpower. It was the input.
02 — The signal
Digestion raises wrist temperature by 0.2–0.4°C within minutes of a meal. We watch for the curve.
Heart rate rises and variability dips as blood shifts to the gut — a signature no tap can fake.
Hand-to-mouth cadence is as distinct as a gait. Micro-motion confirms the moment.
GPS maps where meals happen, drawing the journey between them — synced with social activity, no check-in.
Four signals. One unambiguous answer — on-device, in real time.
03 — The platform
Meal Tracker learns your eating rhythm — when meals tend to happen, and how long they tend to last. A pattern, not a ledger. Raw biosignals never leave the wrist.
04 — Use Cases
The same zero-input meal detection serves four markets, graded by analytical accuracy and medical applicability. Lower tiers need only trends; higher tiers extend to clinical-grade data.
Publicly funded care facilities monitor meal regularity and nutrition of residents under care — with zero input.
A consumer app layer for diet socials, dining-out communities, fitness and 1:1 coaching services, and influencer challenges.
Obesity clinics offer a paid, Meal Tracker-based meal-management service to patients after procedures.
Screening centers and medical institutions use it as medical data for complex metabolic care — clinical trials, insurance, and other specialist B2B domains.
Meal Tracker runs silently on the wearable you already own.
Research & clinical partnerships — cs@palmfirm.com
We keep the best recipes off the menu. For the deeper story, get in touch — coffee's on us.
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