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In this article, we propose a new method for parametric representation of humans lips region. The functional diagram of the method is described and implementation details with the explanation of its ...
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...
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...
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...
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 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...
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...
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...
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...
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.
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 ...
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...

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