IP Library Patent Application 19226596
Patent Application
App. No. 19/226,596

COMPUTER VISION BASED SIGN LANGUAGE INTERPRETER

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Quick Facts
Patent No.
US None
App. No.
19/226,596
Abstract

A system and method for translating sign language utterances into a target language, including: receiving motion capture data; producing phonemes/sign fragments from the received motion capture data; producing a plurality of sign sequences from the phonemes/sign fragments; parsing these sign sequences to produce grammatically parsed sign utterances; translating the grammatically parsed sign utterances into grammatical representations in the target language; and generating output utterances in the target language based upon the grammatical representations.

Claims (47)

1 . A computer-implemented method comprising:

capturing motion capture data of a sign user;

extracting a set of non-manual markers from the motion capture data, the non-manual markers comprising:

a set of lip features selected from a group consisting of a flattened lip feature, a retracted lip feature, or a protruding lip feature;

a set of spoken word articulations selected from a group consisting of a vowel articulation or a consonant articulation; and

a set of head movements; and

generating a set of phonemes with an associated set of confidence values using the set of non-manual markers;

producing a set of sign utterances based on the set of phonemes; and

translating the set of sign utterances into a target language.

2 . The computer-implemented method of claim 1 , wherein extracting the set of non-manual markers comprises extracting a set of upper face features selected from a group including a raised eyebrow movement, a lowered eyebrow movement, or a knitted eyebrow movement.

3 . The computer-implemented method of claim 1 , wherein generating the set of phonemes comprises producing a plurality of segments as a set of time intervals matching the set of phonemes.

4 . The computer-implemented method of claim 1 , wherein generating the set of phonemes further comprises determining a set of possible succeeding phonemes for each phoneme.

5 . The computer-implemented method of claim 1 , wherein producing the set of sign utterances comprises producing a grammatical context and using a previous grammatical context of previous sign utterances.

6 . The computer-implemented method of claim 1 , wherein generating the set of phonemes further comprises using user specific parameter data.

7 . The computer-implemented method of claim 1 , wherein producing the set of sign utterances further comprises using user specific parameter data.

8 . A system comprising:

at least one processor; and

at least one memory storing instructions that, when executed by the at least one processor, cause the system to perform operations comprising:

capturing motion capture data of a sign user;

extracting a set of non-manual markers from the motion capture data, the non-manual markers comprising:

a set of lip features selected from a group consisting of a flattened lip feature, a retracted lip feature, or a protruding lip feature;

a set of spoken word articulations selected from a group consisting of a vowel articulation or a consonant articulation; and

a set of head movements; and

generating a set of phonemes with an associated set of confidence values using the set of non-manual markers;

producing a set of sign utterances based on the set of phonemes; and

translating the set of sign utterances into a target language.

9 . The system of claim 8 , wherein extracting the set of non-manual markers comprises extracting a set of upper face features selected from a group including a raised eyebrow movement, a lowered eyebrow movement, or a knitted eyebrow movement.

10 . The system of claim 8 , wherein generating the set of phonemes comprises producing a plurality of segments as a set of time intervals matching the set of phonemes.

11 . The system of claim 8 , wherein generating the set of phonemes further comprises determining a set of possible succeeding phonemes for each phoneme.

12 . The system of claim 8 , wherein producing the set of sign utterances comprises producing a grammatical context and using a previous grammatical context of previous sign utterances.

13 . The system of claim 8 , wherein generating the set of phonemes further comprises using user specific parameter data.

14 . The system of claim 8 , wherein producing the set of sign utterances further comprises using user specific parameter data.

15 . A non-transitory machine-readable medium including instructions that, when executed by a system, cause the system to perform operations comprising:

capturing motion capture data of a sign user;

extracting a set of non-manual markers from the motion capture data, the non-manual markers comprising:

a set of lip features selected from a group consisting of a flattened lip feature, a retracted lip feature, or a protruding lip feature;

a set of spoken word articulations selected from a group consisting of a vowel articulation or a consonant articulation; and

a set of head movements; and

generating a set of phonemes with an associated set of confidence values using the set of non-manual markers;

producing a set of sign utterances based on the set of phonemes; and

translating the set of sign utterances into a target language.

16 . The non-transitory machine-readable medium of claim 15 , wherein extracting the set of non-manual markers comprises extracting a set of upper face features selected from a group including a raised eyebrow movement, a lowered eyebrow movement, or a knitted eyebrow movement.

17 . The non-transitory machine-readable medium of claim 15 , wherein generating the set of phonemes comprises producing a plurality of segments as a set of time intervals matching the set of phonemes.

18 . The non-transitory machine-readable medium of claim 15 , wherein generating the set of phonemes further comprises determining a set of possible succeeding phonemes for each phoneme.

19 . The non-transitory machine-readable medium of claim 15 , wherein producing the set of sign utterances comprises producing a grammatical context and using a previous grammatical context of previous sign utterances.

20 . The non-transitory machine-readable medium of claim 15 , wherein generating the set of phonemes further comprises using user specific parameter data.

21 . The non-transitory machine-readable medium of claim 15 , wherein producing the set of sign utterances further comprises using user specific parameter data.

Assignments (3)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Sep 24, 2025
From: SIGNALL TECHNOLOGIES ZRT
To: SNAP INC.
Reel/Frame 072363/0060 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Sep 24, 2025
From: RETEK, DAVID; PALHAZI, DAVID; KAJTAR, MARTON; ALVAREZ, ATTILA; POCSI, PETER; NEMETH, ANDRAS; ROBOTKA, ZSOLT; ROVNYAI, JANOS
To: SIGNALL TECHNOLOGIES ZRT
Reel/Frame 072942/0075 →
EMPLOYMENT AGREEMENT Recorded Sep 24, 2025
From: TROSZTEL, MÁTYÁS
To: SIGNALL TECHNOLOGIES ZRT
Reel/Frame 073252/0357 →