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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...
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 ...
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...
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...
A Comparison Between Etymon- and Word-Based Chinese Sign Language Recognition Systems
Comparison Between Etymon- Word-Based Chinese Sign Language Recognition Systems
2013/7/23
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...
A Novel Approach to Automatically Extracting Basic Units from Chinese Sign Language,
Automatically Extracting Basic Units Chinese Sign Language
2010/12/14
In sign language recognition, using subwords instead of whole signs as basic units will scale well with
increasing vocabulary size. However, there are no subwords defined in the signs’ lexical forms....
HandTalker II: A Chinese Sign language Recognition and Synthesis System,
Chinese Sign language Recognition Synthesis System
2010/12/14
This paper presents a Chinese sign language/spoken language dialog system based on the technique of large
vocabulary continuous Chinese sign language recognition (SLR) and Chinese sign language synth...
Based on HMM and SVM Multilayer Architecture Classifier for Chinese Sign Language Recognition with Large Vocabulary
HMM SVM Multilayer Architecture Classifier Chinese Sign Language Recognition
2010/12/14
This paper has put forward a new architecture classifier method for Chinese sign language recognition (CSLR) to improve the performance of recognition. It is a signer-independent method, to recognize ...
A Chinese Sign Language Recognition System Based on SOFM/HMM/SRN
Sign Language Recognition System SOFM/HMM/SRN
2010/12/14
In sign language recognition (SLR), the major challenges now are developing methods that solve signer-independent
continuous sign problems. In this paper, SOFM/HMM is first presented for modeling sig...