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Systems and methods for automated sign language recognition

A sign language and training method technology, applied in speech recognition, character and pattern recognition, speech analysis, etc., can solve the problems of instability and influence of non-dominant hand signals, and achieve the effect of improving recognition accuracy and robustness.

Active Publication Date: 2022-06-28
ROBERT BOSCH GMBH
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  • Abstract
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  • Claims
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AI Technical Summary

Problems solved by technology

The second property is that for dominant-hand symbols only, non-dominant-hand signals can be unstable and affected by neighboring symbols or even additional actions

Method used

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  • Systems and methods for automated sign language recognition
  • Systems and methods for automated sign language recognition
  • Systems and methods for automated sign language recognition

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Embodiment Construction

[0027] For the purpose of promoting an understanding of the principles of the embodiments disclosed herein, reference is now made to the accompanying drawings and the description in the following written specification. No limitation on the scope of the subject matter is intended by this reference. This disclosure also includes any alterations and modifications to the illustrated embodiments, and includes additional applications of the principles of the disclosed embodiments, as would normally occur to those skilled in the art to which this disclosure pertains.

[0028] As used herein, the term "symbolic phoneme" or more simply "phoneme" is used interchangeably and refers to a gesture, hand shape, position, palm corresponding to the smallest unit of sign language using one or both hands orientation or other hand positions. Each symbol in a predetermined sign language includes at least one symbol phoneme, and as used herein, the term "symbol" refers to a word or other unit of l...

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Abstract

A method for sign language recognition comprising: receiving, with an input device, an input based on a plurality of hand movements and gestures of a user corresponding to a sequence of symbols, extracting from the input a plurality of features corresponding to the plurality of hand movements and gestures , identifying the start of a symbol sequence in the input based on a first feature set of the plurality of features and a first Hidden Markov Model (HMM) stored in memory, and based on a second set of the plurality of features The feature set and the second HMM stored in memory identify the first symbol in the input. The method also includes generating an output corresponding to the first symbol from the input.

Description

[0001] claim of priority [0002] This application claims priority to US Provisional Application No. 62 / 148,204, entitled "System and Method For Automated Sign Language Recognition," and filed on April 16, 2015, the entire contents of which are hereby incorporated by reference. This article. This application further claims priority to US Provisional Application No. 62 / 173,878, entitled "SignTransition Modeling and a Scalable Solution to Continuous Sign LanguageRecognition for Real-World Applications" and filed on June 10, 2015, which The entire contents of is hereby incorporated by reference. technical field [0003] The present disclosure relates generally to the field of sign language recognition (SLR), and more particularly, to systems and methods for SLR including Hidden Markov Models (HMMs), and modeling of non-dominant hand features in sign language recognition. Background technique [0004] Sign language is a natural language mainly used by people who are hard of he...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06V40/20G06K9/62G09B21/00G06V10/84
CPCG09B21/009G06V40/28G06F18/295G06F3/017G10L15/24G10L15/142G06F18/21G06F3/014
Inventor Z.周T.门内K.李K.许Z.冯C-H.李
Owner ROBERT BOSCH GMBH
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