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:
Feb. 03, 2026

Filed:

Apr. 21, 2021
Applicant:

Google Llc, Mountain View, CA (US);

Inventors:

Dmitry Lagun, Mountain View, CA (US);

Gautam Prasad, Mountain View, CA (US);

Pezhman Firoozfam, Mountain View, CA (US);

Jimin Pi, Mountain View, CA (US);

Assignee:

GOOGLE LLC, Mountain View, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 3/01 (2006.01); G06T 7/70 (2017.01); G06T 11/60 (2006.01);
U.S. Cl.
CPC ...
G06F 3/013 (2013.01); G06T 7/70 (2017.01); G06T 11/60 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01);
Abstract

The technology relates to methods and systems for implicit calibration for gaze tracking. This can include receiving, by a neural network module, display content that is associated with presentation on a display screen (). The neural network module may also receive uncalibrated gaze information, in which the uncalibrated gaze information includes an uncalibrated gaze trajectory that is associated with a viewer gaze of the display content on the display screen (). A selected function is applied by the neural network module to the uncalibrated gaze information and the display content to generate a user-specific gaze function (). The user-specific gaze function has one or more personalized parameters. And the neural network module can then apply the user-specific gaze function to the uncalibrated gaze information to generate calibrated gaze information associated with the display content on the display screen (). Training and testing information may alternatively be created for implicit gaze calibration ().


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