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System and method 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 problems such as influence and instability of non-dominant hand signals

Active Publication Date: 2018-02-13
ROBERT BOSCH GMBH
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  • Abstract
  • Description
  • Claims
  • Application Information

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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  • System and method for automated sign language recognition
  • System and method for automated sign language recognition
  • System and method 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 drawings and description in the following written specification. No limitation on the scope of subject matter is intended by this reference. The 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 one skilled in the art to which this disclosure pertains.

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

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Abstract

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

Description

[0001] priority statement [0002] This application claims priority to U.S. Provisional Application No. 62 / 148,204, entitled "System and Method For Automated Sign Language Recognition," and filed April 16, 2015, the entire contents of which are hereby incorporated by reference This article. This application further claims priority to U.S. Provisional Application No. 62 / 173,878, entitled "SignTransition Modeling and a Scalable Solution to Continuous Sign Language Recognition for Real-World Applications," and filed June 10, 2015, which The entire content of is hereby incorporated herein 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 primarily used by hard of hearing ...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/62G09B21/00
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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