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:
Jan. 05, 2021

Filed:

Jan. 10, 2020
Applicant:

Microsoft Technology Licensing, Llc, Redmond, WA (US);

Inventors:

Arasch Uwe Lagies, Redmond, WA (US);

Sergio Ortiz-Egea, Redmond, WA (US);

Maria Esther Pace, Redmond, WA (US);

Assignee:

Other;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 3/01 (2006.01); G02B 27/01 (2006.01); G06K 9/00 (2006.01); G02B 27/00 (2006.01);
U.S. Cl.
CPC ...
G06F 3/013 (2013.01); G02B 27/0093 (2013.01); G02B 27/017 (2013.01); G06K 9/00597 (2013.01); G02B 2027/0187 (2013.01);
Abstract

The technology described herein generically calibrates the eye tracking apparatus in a head-mounted display (HMD) device making user-specific calibration unnecessary. The eye tracking apparatus uses one or more cameras to view the eyes of the user wearing the HMD device. From the images captured of the user's eyes, the generically calibrated HMD is able to determine a gaze direction for the user without the user needing to perform a user-specific calibration. The present technology bypasses the need for understanding user specific eye characteristics, such the shape of pupil and iris (ellipticity), by training a machine learning model on a large number of diverse eye images taken in diverse conditions. The machine learning model may take on the form of a convolutional neural network or some other regression based machine learning technology.


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