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. 05, 2025

Filed:

Apr. 05, 2024
Applicant:

Facense Ltd., Kiryat Tivon, IL;

Inventors:

Gil Thieberger, Kiryat Tivon, IL;

Ari M Frank, Haifa, IL;

Tal Thieberger-Navon, Kiryat Tivon, IL;

Assignee:

Facense Ltd., Kiryat Tivon, IL;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 3/13 (2006.01); A61B 5/00 (2006.01); A61B 5/0205 (2006.01); A61B 5/024 (2006.01); A61B 5/145 (2006.01); A61B 5/1455 (2006.01); G06F 3/01 (2006.01); G06V 10/141 (2022.01); G06V 40/16 (2022.01); H04N 23/611 (2023.01); H04N 23/65 (2023.01); H04N 23/951 (2023.01); H04N 25/46 (2023.01);
U.S. Cl.
CPC ...
G06F 3/013 (2013.01); A61B 5/0205 (2013.01); A61B 5/02427 (2013.01); A61B 5/02438 (2013.01); A61B 5/14546 (2013.01); A61B 5/1455 (2013.01); A61B 5/6803 (2013.01); G06V 10/141 (2022.01); G06V 40/166 (2022.01); G06V 40/174 (2022.01); H04N 23/611 (2023.01); H04N 23/651 (2023.01); H04N 23/951 (2023.01); A61B 5/02416 (2013.01); A61B 5/7221 (2013.01); H04N 25/46 (2023.01);
Abstract

Disclosed herein are systems and methods for tracking facial expressions efficiently. In one embodiment, a system includes a non-contact head-mounted electro-optical sensor (e.g., an inward-facing head-mounted camera), which measures reflections from a region on a user's head, which are indicative of facial expressions of the user. The system also includes a computer that detects, based on the reflections, a type of facial expression expressed by the user, which belongs to a group comprising neutral facial expressions and non-neutral facial expressions. The computer uses this detection to determine how to proceed to read the electro-optical sensor: the computer reads the electro-optical sensor at a first average bitrate (b) when the user expresses a facial expression from among the neutral facial expressions, and reads the electro-optical sensor at a second average bitrate (b) when the user expresses a facial expression from among the non-neutral facial expressions, where b>b.


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