IP Library Granted Patent US 12,505,190
Granted Patent B2
US 12,505,190 · App. 18/509,997 · Granted Dec 23, 2025

Providing private answers to non-vocal questions

Inventors: Aviad Maizels (Ramat Hasharon, IL); Yonatan Wexler (Jerusalem, IL); Avi Barliya (Tel Aviv, IL)
Assignee: Q (Cue) Ltd.
G06F21/32A61B5/1176G06F16/532G06F40/40G06V20/50G06V40/166G06V40/171G06V40/172G06V40/176G10L13/02G10L15/08G10L15/20G10L15/22G10L15/25H04R1/028H04R1/10G10L2015/088G10L2015/223
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Quick Facts
Patent No.
US 12,505,190
App. No.
18/509,997
Granted
Dec 23, 2025
Kind
B2
Abstract

Systems, methods, and non-transitory computer readable media including instructions for providing private answers to silent questions are described. Providing private answers to silent questions includes receiving signals indicative of particular facial micromovements in an absence of perceptible vocalization; accessing a data structure correlating facial micromovements with words; using the received signals to perform a lookup in the data structure of particular words associated with the particular facial micromovements; determining a query from the particular words; accessing at least one data structure to perform a look up for an answer to the query; and generating a discreet output that includes the answer to the query.

Claims (46)

1 . A non-transitory computer readable medium containing instructions that when executed by at least one processor cause the at least one processor to perform operations for providing private answers to silent questions, the operations comprising:

operating a light source for projecting light on a plurality of facial region areas using multiple light beams, wherein each of the light beams extends along a corresponding first axis;

operating a light detector that includes at least one multi-pixel sensor configured to capture facial region light reflections from the plurality of facial region areas, at least some of the light reflections received along second axes, different from the first axis;

generating from the facial region light reflections a plurality of reflection images depicting patterns of light scattered off the plurality of facial region areas;

deciphering the plurality of reflection images to determine particular facial micromovements in an absence of perceptible vocalization;

determining a query from the particular facial micromovements;

accessing at least one data structure to perform a look up for an answer to the query; and

generating a discreet output that includes the answer to the query.

2 . The non-transitory computer readable medium of claim 1 , wherein the plurality of reflection images are derived from facial region light reflections from the facial region being other than a mouth.

3 . The non-transitory computer readable medium of claim 2 , wherein the light detector is configured to detect incoherent light reflections from the facial region.

4 . The non-transitory computer readable medium of claim 2 , wherein the light source includes at least one coherent light source, and wherein the light detector is configured to detect coherent light reflections from the facial region.

5 . The non-transitory computer readable medium of claim 2 , wherein the discreet output includes an audible output delivered via at least one earbud to a wearer of the light detector.

6 . The non-transitory computer readable medium of claim 2 , wherein the discreet output includes a textual output delivered to a wearer of the light detector.

7 . The non-transitory computer readable medium of claim 2 , wherein the discreet output includes a tactile output delivered to a wearer of the light detector.

8 . The non-transitory computer readable medium of claim 1 , wherein the particular facial micromovements correspond with muscle activation of at least one of: a zygomaticus muscle, an orbicularis oris muscle, a risorius muscle, a genioglossus muscle, or a levator labii superioris alaeque nasi muscle.

9 . The non-transitory computer readable medium of claim 1 , wherein the operations further include receiving image data and wherein the query is determined based on nonvocalized articulation of words and context determined from the image data.

10 . The non-transitory computer readable medium of claim 9 , wherein the image data is obtained from a wearable image sensor other than the light detector.

11 . The non-transitory computer readable medium of claim 9 , wherein the image data reflects an identity of a person, the query is for a name of the person, and the discreet output includes the name of the person.

12 . The non-transitory computer readable medium of claim 9 , wherein the image data reflects an identity of an edible product, the query is for a list of allergens included in the edible product, and the discreet output includes the list of allergens.

13 . The non-transitory computer readable medium of claim 9 , wherein the image data reflects an identity of an inanimate object, the query is for details on the inanimate object, and the discreet output includes the requested details on the inanimate object.

14 . The non-transitory computer readable medium of claim 1 , wherein the operations further include using the particular facial micromovements to attempt to authenticate an individual associated with the particular facial micromovements.

15 . The non-transitory computer readable medium of claim 14 , wherein:

when the individual is authenticated, the operations further include providing a first answer to the query, the first answer including private information; and

when the individual is not authenticated, the operations further include providing a second answer to the query, the second answer omitting the private information.

16 . The non-transitory computer readable medium of claim 14 , wherein the operations further include accessing personal data associated with the individual and using the personal data to generate the discreet output that includes the answer to the query.

17 . The non-transitory computer readable medium of claim 16 , wherein the personal data includes at least one of: age the individual, gender of the individual, current location of the individual, occupation of the individual, home address of the individual, level of education of the individual, or health condition of the individual.

18 . The non-transitory computer readable medium of claim 1 , wherein the operations further include using the facial micromovements to determine an emotional state of an individual associated with the facial micromovements, and wherein the answer to the query is determined based in part on the determined emotional state.

19 . A method for providing private answers to silent questions, the method comprising:

operating a light source for projecting light on a plurality of facial region areas using multiple light beams, wherein each of the light beams extends along a corresponding first axis;

operating a light detector that includes at least one multi-pixel sensor configured to capture facial region light reflections from the plurality of facial region areas, at least some of the light reflections received along second axes, different from the first axis;

generating from the facial region light reflections a plurality of reflection images depicting patterns of light scattered off the plurality of facial region areas;

deciphering the plurality of reflection images to determine particular facial micromovements in an absence of perceptible vocalization;

determining a query from the particular facial micromovements;

accessing at least one data structure to perform a look up for an answer to the query; and

generating a discreet output that includes the answer to the query.

20 . A system for providing private answers to silent questions, the system comprising:

at least one processor configured to:

operate a light source for projecting light on a plurality of facial region areas using multiple light beams, wherein each of the light beams extends along a corresponding first axis;

operate a light detector that includes at least one multi-pixel sensor configured to capture facial region light reflections from the plurality of facial region areas, at least some of the light reflections received along second axes, different from the first axis;

generate from the facial region light reflections a plurality of reflection images depicting patterns of light scattered off the plurality of facial region areas;

decipher the plurality of reflection images to determine particular facial micromovements in an absence of perceptible vocalization;

determine a query from the particular facial micromovements;

access at least one data structure to perform a look up for an answer to the query; and

generate a discreet output that includes the answer to the query.

21 . The system of claim 20 , wherein at least some of the plurality of facial region areas are spaced from each other.

22 . The system of claim 20 , wherein at least some of the plurality of facial region areas overlap each other.

Assignments (3)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded May 19, 2026
From: Q (CUE) LTD.
To: APPLE INC.
Reel/Frame 075350/0371 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded May 3, 2026
From: Q (CUE) LTD.,
To: APPLE INC.
Reel/Frame 075504/0286 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Aug 19, 2024
From: MAIZELS, AVIAD; BARLIYA, AVI; KORNBLAU, GIORA; WEXLER, YONATAN
To: Q (CUE) LTD.
Reel/Frame 068324/0204 →
Continuity (10)
Continuation PCTIB2023057369 · Jul 19, 2023
Continuation PCTIB2022056418 · Jul 12, 2022
Continuation In Part PCTIB2022054527 · May 16, 2022
Provisional Application 63487299 · Feb 28, 2023
Provisional Application 63441183 · Jan 26, 2023
Provisional Application 63438061 · Jan 10, 2023
Provisional Application 63394329 · Aug 2, 2022
Provisional Application 63390653 · Jul 20, 2022
Provisional Application 63229091 · Aug 4, 2021
Related Publication 20240079012A1 · Mar 7, 2024
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