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搜索结果: 1-15 共查到计算机科学技术 Sign Language Recognition相关记录16条 . 查询时间(0.078 秒)
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...
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...
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 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...
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...
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 ...
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...

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