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PARAMETRIC REPRESENTATION OF THE SPEAKER’S LIPS FOR MULTIMODAL SIGN LANGUAGE AND SPEECH RECOGNITION
Sign language Gestures Speech recognition Computer Vision Principal Component Analysis Machine learning Face detection Linear contrasting
2017/6/19
In this article, we propose a new method for parametric representation of human’s lips region. The functional diagram of the method is described and implementation details with the explanation of its ...
Deaf Individuals’ Bilingual Abilities: American Sign Language Proficiency, Reading Skills, and Family Characteristics
Deaf, American Sign Language, Reading, Bilingual, Family
2013/2/21
The current study investigated the bilingual abilities of 55 Deaf individuals, examining both American Sign Language (ASL) competency and English reading skills. Results revealed a positive relationsh...
Application of a Sign Language Synthesis System in Digital Library Services
sign language synthesis digital library on-line seminar sign language presentation
2013/1/29
Information Accessibility for disabled people is one of the most important design criteria for the China National Digital Library (CNDL) development. Sign language synthesis systems are effective to p...
Mahalanobis Distance Based Polynomial Segment Model For Chinese Sign Language Recogniton
Mahalanobis Distance Polynomial Segment Model Chinese Sign Language Recogniton
2010/12/17
Sign Language Recognition (SLR) systems are mostly based on Hidden Markov Model (HMM) and have achieved excellent results. However, the assumption of frame independence in HMM makes it inconsistent wi...
MAHALANOBIS DISTANCE BASED POLYNOMIAL SEGMENT MODEL FOR CHINESE SIGN LANGUAGE RECOGNITON
Sign Language Recognition Hidden Markov Model Polynomial Segment Model Mahalanobis distance
2013/7/17
Sign Language Recognition (SLR) systems are mostly based on Hidden Markov Model (HMM) and have achieved excellent results. However, the assumption of frame independence in HMM makes it inconsistent wi...
Signer Adaptation Based on Etyma for Large Vocabulary Chinese Sign Language Recognition
Signer Adaptation Large Vocabulary Chinese Sign Language Recognition
2010/12/16
Sign language recognition (SLR) with large vocabulary and signer independency is valuable and is still a big challenge. Signer adaptation is an important solution to signer independent SLR. In this pa...
Large-Vocabulary Continuous Sign Language Recognition Based on Transition-Movement Models
Sign Language Recognition Transition-Movement Models
2010/12/16
The major challenges that sign language recognition (SLR) now faces are developing methods that solve largevocabulary continuous sign problems. In this paper, transitionmovement
models (TMMs) are pro...
Viewpoint invariance is a grand challenge for sign language recognition. In this paper, we propose a novel viewpoint invariant method for sign language recognition. The recognition task is converted t...
Expanding Training Set for Chinese Sign Language Recognition
Chinese Sign Language Recognition Training Set
2010/12/16
In Sign Language recognition, one of the problems is to collect enough training data. Almost all of the statistical methods used in Sign Language Recognition suffer from this problem. Inspired by the ...
It is difficult to recognize sign language in different viewpoint. The HMM method is hindered by the difficulty of extracting view invariant features. The general template
matching methods have a st...
A Verification Method for Viewpoint Invariant Sign Language Recognition
Viewpoint Invariant Sign Language Recognition
2010/12/16
Viewpoint variance is one of the inevitable problems in vision based sign language recognition.However, most researchers avoid this problem by assuming a special view, especially the front view. In th...
A Comparison Between Etymon- and Word-Based Chinese Sign Language Recognition Systems
Chinese Sign Language Recognition Systems Comparison
2010/12/15
Hitherto, one major challenge to sign language recognition is how to develop approaches that scale well with increasing vocabulary size. In large vocabulary speech recognition realm, it is effective t...
Visual Sign Language Recognition Based on HMMs and Auto-regressive HMMs
Visual Sign Language Recognition HMMs Auto-regressive HMMs
2010/12/15
A sign language recognition system based on Hidden Markov Models(HMMs) and Auto-regressive Hidden Markov Models(ARHMMs) has been proposed in this paper. ARHMMs fully consider the observation relations...
Re-sampling for Chinese Sign Language Recognition
Re-sampling Chinese Sign Language Recognition
2010/12/15
In Sign Language recognition, one of the problems is to collect enough data. Data collection for both training and testing is a laborious but necessary step. Almost all of the statistical methods used...
VIEWPOINT INVARIANT SIGN LANGUAGE RECOGNITION
VIEWPOINT INVARIANT SIGN LANGUAGE RECOGNITION
2010/12/15
Sign language is the primary modality of communication among deaf and mute society all over the world. This paper proposes a viewpoint independent method for sign recognition. Considering that two seq...