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:
Dec. 02, 2025

Filed:

Apr. 02, 2021
Applicant:

Magic Leap, Inc., Plantation, FL (US);

Inventors:

Adrian Kaehler, Los Angeles, CA (US);

Douglas Bertram Lee, Redwood City, CA (US);

Vijay Badrinarayanan, Mountain View, CA (US);

Assignee:

MAGIC LEAP, INC., Plantation, FL (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06V 10/40 (2022.01); G02B 27/00 (2006.01); G02B 27/01 (2006.01); G06F 1/16 (2006.01); G06F 3/01 (2006.01); G06F 3/0346 (2013.01); G06F 3/04815 (2022.01); G06N 3/02 (2006.01); G06T 7/20 (2017.01); G06T 7/246 (2017.01); G06T 7/70 (2017.01); G06T 19/00 (2011.01);
U.S. Cl.
CPC ...
G06T 7/70 (2017.01); G02B 27/0093 (2013.01); G02B 27/0172 (2013.01); G06F 1/163 (2013.01); G06F 3/011 (2013.01); G06F 3/013 (2013.01); G06F 3/0346 (2013.01); G06F 3/04815 (2013.01); G06N 3/02 (2013.01); G06T 7/20 (2013.01); G06T 7/246 (2017.01); G02B 2027/0185 (2013.01); G06T 19/006 (2013.01); G06T 2207/10016 (2013.01); G06T 2207/10048 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30041 (2013.01); G06T 2207/30201 (2013.01);
Abstract

Disclosed herein is a wearable display system for capturing retraining eye images of an eye of a user for retraining a neural network for eye tracking. The system captures retraining eye images using an image capture device when user interface (UI) events occur with respect to UI devices displayed at display locations of a display. The system can generate a retraining set comprising the retraining eye images and eye poses of the eye of the user in the retraining eye images (e.g., related to the display locations of the UI devices) and obtain a retrained neural network that is retrained using the retraining set.


Find Patent Forward Citations

Loading…