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Expanding Training Set for Chinese Sign Language Recognition
Chinese Sign Language Recognition Training Set
2006/12/31
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
2005/12/31
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
2005/12/31
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...
HandTalker II: A Chinese Sign language Recognition and Synthesis System,
Chinese Sign language Recognition Synthesis System
2004/12/31
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
2004/12/31
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
2004/12/31
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...