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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...
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 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...
Recognition of Sign Language Subwords Based on Boosted Hidden Markov Models,
Sign Language Subwords Boosted Hidden Markov Models
2010/12/15
Sign language recognition (SLR) plays an important role in human-computer interaction (HCI), especially for the convenient communication between deaf and hearing society. How to
enhance the tradition...
Hierarchical Voting Classification Scheme for Improving Visual Sign Language Recognition
Hierarchical Voting Classification Scheme Sign Language Recognition
2010/12/15
As one of the important research areas of multimodal interaction,sign language recognition (SLR) has attracted increasing interest. In SLR, especially on medium or large vocabulary, it is usually diff...
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....
A Vision-Based Sign Language Recognition System Using Tied-Mixture Density HMM
Sign Language Recognition System Tied-Mixture Density HMM
2010/12/14
A Vision-Based Sign Language Recognition System Using Tied-Mixture Density HMM.
Vision-Based Sign Language Recognition Using Sign-Wise Tied Mixture HMM,
Vision-Based Sign Language Recognition Sign-Wise Tied Mixture HMM
2010/12/14
In this paper, a new sign-wise tied mixture HMM (SWTMHMM)is proposed and applied in vision-based sign language recognition (SLR). In the SWTMHMM, the mixture densities of the same sign model are tied ...
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...
DTW/ISODATA algorithm and Multilayer Architecture in Sign Language Recognition with Large Vocabulary
DTW/ISODATA algorithm Multilayer Architecture Sign Language Recognition
2010/12/14
Up to now, the major problem for large vocabulary sign language recognition lies in the huge search space due to a variety of recognition classes.Analytical methods such as Dynamic Time Wrapping (DTW...