The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Jun. 16, 2026

Filed:

Oct. 21, 2021
Applicant:

Google Llc, Mountain View, CA (US);

Inventors:

Alexander Statan, Berkeley, CA (US);

Sarah Ann Stokes Kernasovskiy, San Francisco, CA (US);

Alexandros Antonios Pantelopoulos, El Cerrito, CA (US);

Conor Joseph Heneghan, Campbell, CA (US);

Assignee:

GOOGLE LLC, Mountain View, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
A61B 5/00 (2006.01); A61B 5/11 (2006.01); G01P 13/00 (2006.01); G01P 15/18 (2013.01); G06N 3/084 (2023.01);
U.S. Cl.
CPC ...
A61B 5/4809 (2013.01); A61B 5/1126 (2013.01); A61B 5/681 (2013.01); A61B 5/7267 (2013.01); G01P 13/00 (2013.01); G01P 15/18 (2013.01); G06N 3/084 (2013.01); A61B 5/4812 (2013.01); A61B 2562/0219 (2013.01);
Abstract

The present disclosure is directed towards systems and methods for improving analysis of sleep data by classifying users based on sleeper type. In particular, a wearable computing system can obtain a first set of motion sensor data from the motion sensor for a user during a first period. The wearable computing system can determine a sleeper type from a plurality of sleeper types for the user based on the first set of motion sensor data received from the motion sensor. The wearable computing system can select a sleep analysis model from a plurality of sleep analysis models based on the sleeper type determined for the user. The wearable computing system can use the selected sleep analysis model to analyze a second set of motion sensor data from a second period to determine one or more sleep characteristics for the user during the second period.


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