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Google · Software · Filed Jun 13, 2025 · USPTO published Nov 12, 2026 · This week's release

Google Files Patent for a Wearable Test of Whether Your New Habit Works

Google has filed a patent application for an app that turns a new habit into a personal experiment. It then checks whether your body data moved by more than the normal day-to-day swings.

A smartwatch connects to a phone app that tracks daily routines and gives personalized advice on whether lifestyle changes are working. Drawing from patent filing US 2026/0360503 A1.
A smartwatch connects to a phone app that tracks daily routines and gives personalized advice on whether lifestyle changes are working.All 13 drawings ↓
Publication number
US 2026/0360503 A1(US20260360503A1)
Applicant
Google LLC
Filed · Published
Jun 13, 2025 · Nov 12, 2026
Inventors
Naghmeh Rezaei, Hulya Emir-Farinas, Qian He
Status when we published
Examiner raised objections; the company can respond
Document
20 claims
US classification
705/2
Examiner
PATEL, SHERYL GOPAL (Art Unit 3685)
Parent application
National Stage Entry of PCT/US2022/053876 (filed Dec 22, 2022)(PCTUS2022053876)

What Google's habit-testing wearable app does

Your resting heart rate bounces around from day to day, and so does your sleep. That makes it hard to tell whether the new habit you started three weeks ago is doing anything, because small improvements get buried in the everyday noise. Google's patent application describes an app that tries to dig them out.

You pick a goal, such as walking briskly for 30 minutes a day or going to bed earlier, and the app runs it like a small personal experiment. Each day it asks whether you stuck to it, while your wearable keeps recording things like resting heart rate and sleep. The filing uses a 28-day run as its example.

At the end, the app checks whether your numbers moved by more than ordinary ups and downs would explain. Then it sends you a report with suggestions for what to try next.

From the filing · CLAIM 1
monitoring one or more metrics of physiological data of a user based at least in part on a health behavior goal of the user, the one or more metrics being associated with the health behavior goal; tracking adherence to the health behavior goal by the user over a defined time; …

Translation: The wearable watches your body data while you try to stick to a new health routine.

How the app compares your 28 days to a baseline

The claims cover a computing device (a wearable, a phone or a server) that does four things. It monitors body measurements tied to a goal the user chose, tracks adherence to that goal over a set period, detects a statistical change in the measurements (a shift bigger than normal day-to-day wobble), and then takes an action based on what it finds.

The filing fills in the details. Goals come from a predefined list covering fitness, mindfulness, sleep and nutrition, and the user can rate how achievable a goal feels. Tracked measurements include resting heart rate, heart rate variability, sleep stages, weight and a "restoration score." Adherence can be logged with a yes or no slider, or picked up automatically when the wearable can see it.

To judge a change, the system can compare against a baseline collected in an earlier period, so a few odd days don't throw it off. It can use machine learning models (software trained on the user's own data to spot patterns) and check whether a change is positive or negative and above or below a significance threshold. It can also ask how you feel and check whether your gut sense matches the data.

The resulting "intelligent notification" can compare you with your past self or with other users and recommend new goals based on your history. It can even pick the best time to message you based on when you usually respond.

Why this matters for your smartwatch data

Most wearable apps show you numbers and leave the interpretation to you. This filing describes one that treats your habits like an experiment and tells you whether the result is bigger than everyday variation. If it works, you get an answer to "is this earlier bedtime helping?" instead of a pile of charts. The report also shows how many days you stuck with the plan, so you can see your effort next to the outcome.

There are open questions. The claims describe a general method, and the filing gives no accuracy figures. A few weeks of data from one person can only say so much about cause and effect. The examiner's first review rejected the claims as filed, which is routine at this stage and usually followed by amendments.

Google's 27th filing we've tracked since May in our wearables that read your body watch covers body sensing, following applications like radar gestures that learn and earbuds that feel you chew.

Source: US 2026/0360503 A1 at the USPTO (PDF). Full patent text and figures are in the official publication.

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The drawings · 13 sheets

13 drawing sheets from US 2026/0360503 A1 · click any drawing to enlarge

Front view of the smartwatch display and wristband, drawing sheet 1 from US 2026/0360503 A1
Sheet 1 Front view of the smartwatch display and wristband
Rear view showing the sensor area against the skin, drawing sheet 2 from US 2026/0360503 A1
Sheet 2 Rear view showing the sensor area against the skin
Side angle showing the thickness of the watch case, drawing sheet 3 from US 2026/0360503 A1
Sheet 3 Side angle showing the thickness of the watch case
Internal parts that collect and evaluate vital signs, drawing sheet 4 from US 2026/0360503 A1
Sheet 4 Internal parts that collect and evaluate vital signs
Connecting the watch, phone, and cloud servers together, drawing sheet 5 from US 2026/0360503 A1
Sheet 5 Connecting the watch, phone, and cloud servers together
Server hardware that analyzes user habit records, drawing sheet 6 from US 2026/0360503 A1
Sheet 6 Server hardware that analyzes user habit records
App onboarding screens introducing the self test program, drawing sheet 7 from US 2026/0360503 A1
Sheet 7 App onboarding screens introducing the self test program
Menus for choosing a fitness, sleep, or diet routine, drawing sheet 8 from US 2026/0360503 A1
Sheet 8 Menus for choosing a fitness, sleep, or diet routine
Show the other 5 sheets
App questions that assess your commitment and set reminders, drawing sheet 9 from US 2026/0360503 A1
Sheet 9 App questions that assess your commitment and set reminders
Viewing your daily activity and sleep stats on the dashboard, drawing sheet 10 from US 2026/0360503 A1
Sheet 10 Viewing your daily activity and sleep stats on the dashboard
Daily check-ins and detailed charts comparing your health to others, drawing sheet 11 from US 2026/0360503 A1
Sheet 11 Daily check-ins and detailed charts comparing your health to others
A summary card showing which body metrics improved or declined, drawing sheet 12 from US 2026/0360503 A1
Sheet 12 A summary card showing which body metrics improved or declined
Checking if a new routine improved your health, drawing sheet 13 from US 2026/0360503 A1
Sheet 13 Checking if a new routine improved your health
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