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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 12254882 B1

PDFFull Text
Date of Patent:
Mar. 18, 2025

Filed:

Feb. 02, 2024

Speech detection from facial skin movements

Applicant:

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

Inventors:

Aviad Maizels, Ramat Hasharon, IL;

Avi Barliya, Tel Aviv, IL;

Yonatan Wexler, Jerusalem, IL;

Assignee:

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

Attorney:

Finnegan, Henderson, Farabow, Garrett & Dunner LLP

Primary Examiner:

Neeraj Sharma

Int. Cl.
CPC ...
G10L 15/22 (2006.01); G02B 27/00 (2006.01); G06F 40/58 (2020.01); G06V 10/141 (2022.01); G06V 10/60 (2022.01); G06V 10/82 (2022.01); G06V 40/16 (2022.01); G10L 13/02 (2013.01); G10L 13/027 (2013.01); G10L 13/04 (2013.01); G10L 15/16 (2006.01); G10L 15/25 (2013.01); G10L 15/26 (2006.01); G06F 3/01 (2006.01);
U.S. Cl.
CPC ...
G10L 15/26 (2013.01); G02B 27/0093 (2013.01); G06F 40/58 (2020.01); G06V 10/141 (2022.01); G06V 10/60 (2022.01); G06V 10/82 (2022.01); G06V 40/171 (2022.01); G06V 40/174 (2022.01); G06V 40/176 (2022.01); G10L 13/02 (2013.01); G10L 13/027 (2013.01); G10L 13/04 (2013.01); G10L 15/16 (2013.01); G10L 15/25 (2013.01); G06F 3/015 (2013.01);
Abstract

Systems and methods are disclosed for speech detection from facial skin movements. In one implementation, a system may include at least one light source, at least one sensor configured to receive light reflections from the at least one light source; and a processor configured to control the at least one light source to illuminate a region of a face of a user in a time interval. The processor may receive reflection signals indicative of light reflected from the face in the time interval. The reflection signals may be analyzed to determine facial skin movements in the time interval, wherein determining the sequence of words includes using an artificial neural network and a motion-to-language analysis. Then, based on the determined facial skin movements, the processor may determine a sequence of words associated with the facial skin movements, and output a textual transcription corresponding with the determined sequence of words.

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