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:
Nov. 26, 2024

Filed:

Nov. 09, 2023
Applicant:

Q (Cue) Ltd., Ramat Gan, IL;

Inventor:

Yonatan Wexler, Jerusalem, IL;

Assignee:

Q (Cue) Ltd., Ramat Gan, IL;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 40/263 (2020.01); G06F 21/32 (2013.01); G06Q 20/40 (2012.01); G06V 10/145 (2022.01); G06V 10/60 (2022.01); G06V 40/16 (2022.01); G06V 40/40 (2022.01); G10L 13/00 (2006.01); G10L 13/02 (2013.01); G10L 13/027 (2013.01); G10L 15/08 (2006.01); G10L 15/16 (2006.01); G10L 15/25 (2013.01); G10L 17/02 (2013.01); G10L 17/04 (2013.01); G10L 17/10 (2013.01); G10L 17/18 (2013.01); G10L 25/84 (2013.01); H04L 9/40 (2022.01);
U.S. Cl.
CPC ...
G10L 15/25 (2013.01); G06F 21/32 (2013.01); G06Q 20/40145 (2013.01); G06V 10/145 (2022.01); G06V 10/60 (2022.01); G06V 40/166 (2022.01); G06V 40/171 (2022.01); G06V 40/172 (2022.01); G06V 40/176 (2022.01); G06V 40/45 (2022.01); G10L 13/00 (2013.01); G10L 13/02 (2013.01); G10L 13/027 (2013.01); G10L 15/08 (2013.01); G10L 15/16 (2013.01); G10L 17/02 (2013.01); G10L 17/04 (2013.01); G10L 17/10 (2013.01); G10L 17/18 (2013.01); G10L 25/84 (2013.01); H04L 63/0861 (2013.01); H04L 63/108 (2013.01);
Abstract

Systems, methods, and non-transitory computer readable media including instructions for interpreting facial skin micromovements are disclosed. Interpreting facial skin micromovements includes receiving during a first time period first signals representing prevocalization facial skin micromovements, and receiving during a second time period succeeding the first time period, second signals representing sounds. The sounds are analyzed to identify words spoken during the second time period, and the words are correlated with the prevocalization facial skin micromovements received during the first time period. The correlations are stored for future use. During a third time period, third signals representing facial skin micromovements are received in an absence of vocalization. Using the correlations, language associated with the third signals is identified and outputted.


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