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:
Oct. 12, 2021

Filed:

May. 18, 2020
Applicant:

Qualcomm Incorporated, San Diego, CA (US);

Inventors:

Chiranjib Choudhuri, Bangalore, IN;

Ajit Deepak Gupte, Bangalore, IN;

Pushkar Gorur Sheshagiri, Bengaluru, IN;

Gerhard Reitmayr, Del Mar, CA (US);

Tom Edward Botterill, San Diego, CA (US);

Assignee:

QUALCOMM Incorporated, San Diego, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 3/01 (2006.01); G06N 20/00 (2019.01); G06N 3/04 (2006.01); G06N 3/08 (2006.01); G06F 3/0346 (2013.01);
U.S. Cl.
CPC ...
G06F 3/012 (2013.01); G06F 3/013 (2013.01); G06F 3/0346 (2013.01); G06N 3/0454 (2013.01); G06N 3/08 (2013.01); G06N 20/00 (2019.01);
Abstract

Methods, systems, and devices for deep learning based head motion prediction for extended reality are described. The head pose prediction may involve training one or more layers of a machine learning network based on application data and an estimated head motion range associated with the extended reality system. The network may receive one or more bias corrected inertial measurement unit (IMU) measurements based on a sensor. The network may model a relative head pose of the user as a polynomial of time over a prediction interval based on the bias corrected IMU measurements and the trained one or more layers of the machine learning network. The network may determine a future relative head pose of the user based on the polynomial (e.g., which may be used for virtual object generation, display, etc. within an extended reality system).


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