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搜索结果: 1-15 共查到工学 SIGN LANGUAGE RECOGNITION相关记录21条 . 查询时间(0.062 秒)
Sign language recognition (SLR) with large vocabulary and signer independency is valuable and is still a big challenge. Signer adaptation is an important solution to signer independent SLR. In this pa...
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...
Viewpoint variance is one of the inevitable problems in vision based sign language recognition.However, most researchers avoid this problem by assuming a special view, especially the front view. In th...
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 is the primary modality of communication among deaf and mute society all over the world. This paper proposes a viewpoint independent method for sign recognition. Considering that two seq...
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...

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