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:
Nov. 07, 2023

Filed:

Jan. 19, 2023
Applicant:

Apple Inc., Cupertino, CA (US);

Inventors:

Roy J. Raymann, Campbell, CA (US);

Wren N. Dougherty, San Francisco, CA (US);

Divya Nag, Palo Alto, CA (US);

Deborah M. Lambert, San Francisco, CA (US);

Stephanie Greer, San Francisco, CA (US);

Thomas R. Gruber, Santa Cruz, CA (US);

Assignee:

Apple Inc., Cupertino, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
H04M 1/725 (2021.01); A61B 5/00 (2006.01); H04W 4/70 (2018.01); G06Q 10/109 (2023.01); G08B 21/06 (2006.01); H04M 1/72451 (2021.01); H04L 67/50 (2022.01); A61B 5/01 (2006.01); A61B 5/024 (2006.01); A61B 5/08 (2006.01); A61B 5/11 (2006.01);
U.S. Cl.
CPC ...
A61B 5/4809 (2013.01); G06Q 10/109 (2013.01); G08B 21/06 (2013.01); H04L 67/535 (2022.05); H04M 1/72451 (2021.01); H04W 4/70 (2018.02); A61B 5/01 (2013.01); A61B 5/02416 (2013.01); A61B 5/0816 (2013.01); A61B 5/11 (2013.01); A61B 5/4815 (2013.01); A61B 5/742 (2013.01); A61B 2560/0242 (2013.01);
Abstract

In some implementations, a mobile device can adjust an alarm setting based on the sleep onset latency duration detected for a user of the mobile device. For example, sleep onset latency can be the amount of time it takes for the user to fall asleep after the user attempts to go to sleep (e.g., goes to bed). The mobile device can determine when the user intends or attempts to go to sleep based on detected sleep ritual activities. Sleep ritual activities can include those activities a user performs in preparation for sleep. The mobile device can determine when the user is asleep based on detected sleep signals (e.g., biometric data, sounds, etc.). In some implementations, the mobile device can determine recurring patterns of long or short sleep onset latency and present suggestions that might help the user sleep better or feel more rested.


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