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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.

Patent No.:

US 12142282 B1

PDFFull Text
Date of Patent:
Nov. 12, 2024

Filed:

Nov. 09, 2023

Interpreting words prior to vocalization

Applicant:

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

Inventors:

Aviad Maizels, Ramat Hasharon, IL;

Yonatan Wexler, Jerusalem, IL;

Avi Barliya, Tel Aviv, IL;

Assignee:

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

Attorney:

Finnegan, Henderson, Farabow, Garrett & Dunner LLP

Primary Examiner:

Wesley J Tucker

Int. Cl.
CPC ...
G10L 15/25 (2013.01); 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 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 computer program products are disclosed for removing noise from facial skin micromovement signals. Removing noise from facial skin micromovements includes, during a time period when an individual is involved in at least one non-speech-related physical activity, operating a light source in a manner enabling illumination of a facial skin region of the individual; receiving signals representing light reflections from the facial skin region; analyzing the received signals to identify a first reflection component indicative of prevocalization facial skin micromovements and a second reflection component associated with the at least one non-speech-related physical activity; and filtering out the second reflection component to enable interpretation of words from the first reflection component indicative of the prevocalization facial skin micromovements.

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