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:
Aug. 19, 2025

Filed:

Nov. 10, 2023
Applicant:

State Farm Mutual Automobile Insurance Company, Bloomington, IL (US);

Inventors:

Dingchao Zhang, Normal, IL (US);

Jeffrey S. Myers, Normal, IL (US);

Michael Bernico, Bloomington, IL (US);

Marigona Bokshi-Drotar, McKinney, TX (US);

Edward W. Breitweiser, Bloomington, IL (US);

Peter Laube, Bloomington, IL (US);

Utku Pamuksuz, Champaign, IL (US);

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/00 (2022.01); A61B 5/00 (2006.01); G06T 7/00 (2017.01); G06V 10/764 (2022.01); G06V 40/10 (2022.01); G06V 40/16 (2022.01); G16H 15/00 (2018.01); G16H 30/40 (2018.01); G16H 50/50 (2018.01); A61B 5/01 (2006.01); A61B 5/021 (2006.01); A61B 5/024 (2006.01); A61B 5/0533 (2021.01); A61B 5/16 (2006.01); G16H 50/30 (2018.01);
U.S. Cl.
CPC ...
A61B 5/0059 (2013.01); G06T 7/0012 (2013.01); G06V 10/764 (2022.01); G06V 40/10 (2022.01); G06V 40/161 (2022.01); G06V 40/168 (2022.01); G06V 40/171 (2022.01); G06V 40/174 (2022.01); G16H 15/00 (2018.01); G16H 30/40 (2018.01); G16H 50/50 (2018.01); A61B 5/01 (2013.01); A61B 5/021 (2013.01); A61B 5/024 (2013.01); A61B 5/0533 (2013.01); A61B 5/165 (2013.01); G06T 2200/24 (2013.01); G06T 2207/10016 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/30004 (2013.01); G06T 2207/30201 (2013.01); G06V 40/15 (2022.01); G16H 50/30 (2018.01);
Abstract

A method and system may use computer vision techniques and machine learning analysis to automatically identify a user's biometric characteristics. A user's client computing device may capture a video of the user. Feature data and movement data may be extracted from the video and applied to statistical models for determining several biometric characteristics. The determined biometric characteristic values may be used to identify individual health scores and the individual health scores may be combined to generate an overall health score and longevity metric. An indication of the user's biometric characteristics which may include the overall health score and longevity metric may be displayed on the user's client computing device.


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