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   chinese sign language 的翻译结果: 查询用时:0.01秒
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chinese sign language
相关语句
  中国手语
     The Application for Rough Set on the Synthesis of Chinese Sign Language
     粗糙集理论在中国手语合成中的应用
短句来源
     Experimental results show that the proposed method dramatically improves the recognition rate of the Chinese sign language synthesis system about 30%.
     实验表明,提出的方法使得中国手语合成系统的可懂度提高30%以上.
短句来源
     A method to translate Chinese text into Chinese sign language is introduced, and how to present gesture by a 3D virtual human, to help the deaf communicate with the hearing.
     介绍了一种中国手语合成方法,实现了文本到中国手语的自动翻译,并使用虚拟人合成技术,实现了中国手语的合成与显示,以此帮助聋人与听力正常人之间实现自然交流.
短句来源
     A Classification Method for Chinese Sign Language Recognition
     一种用于手语识别的中国手语分类方法
短句来源
     Design and Implementation of "Electronic Dictionary of Chinese Sign Language
     《中国手语电子词典》的设计及实现
短句来源
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  汉语手语
     Rule Based Translation From Chinese to Chinese Sign Language
     基于规则的汉语至汉语手语的变换
短句来源
     Research on Chinese Sign Language Grammar
     汉语手语语法研究
短句来源
     According to features of syntax and semantics of Chinese and the Chinese Sign Language a translation from Chinese to the Chinese Sign Language is implemented by adopting the method of translating to intermediate language based on rules.
     并针对汉语和汉语手语各自的语法和语义特征采用基于规则变换到中间语言的方法实现了由汉语至汉语手语的转换。
短句来源
     Furthermore a text driven Chinese Sign Language synthesis system is implemented by driving the model with parameters.
     进而用参数驱动模型,采用图形学方法在计算机上实现了一个由文本驱动的汉语手语合成系统。
短句来源
     In this paper, a novel recognition method of Chinese sign language gesture based on the FSMM is introduced, it combines the fuzzy theory with HMM theory. In this method, the 3D position of hand is adopted as the observable vector.
     结合汉语手语中手势的特点,采用人手的三维空间位置信息作为观测向量,将模糊理论与HMM理论相结合,提出了一种基于FSMM的中国手语手势识别方法。
短句来源
  汉语手指语
     Fuzzy Fusion of Fingers' Angles Based on the Recognition of Chinese Sign Language Letters
     基于汉语手指语字母识别的手指角度模糊融合
短句来源
     The paper discussed the concept and the connotation of the Chinese sign language and the Chinese finger language from the aspect of the linguistics, and concluded that the definite addressing of the uniqueness of the Chinese sign language will promote further research on Chinese sign language.
     本文试图从语言学角度论述中国手语、汉语手指语的概念和内涵 ,在分析的基础上明确中国手语称呼的唯一性 ,以利于基础理论建设和对中国手语的进一步研究。
短句来源
  “chinese sign language”译为未确定词的双语例句
     In this paper, the authors present their studies on the synthesis of virtual human and its applications on human-computer interaction, especially on the synthesis of Chinese Sign Language, and on the synthesis of human face expression and animation.
     人体行为交互是人际之间除语音交互之外的一种重要交互方法。 本文介绍了我们应用虚拟人合成技术实现人体行为交互的主要研究工作,以及这些研究成果在聋人手语(手势)交互、人脸表情与动画合成等方面的应用。
短句来源
     In this paper, a novel recognition method of single-hand dynamic finger words of Chinese Sign Language (CSL) based on multi-feature matching and D-S theory is introduced, which uses the dataglove CAS-Glove as the input device and partitions the motion of each finger joints into a fuzzy state.
     本文利用数据手套CAS—Glove作为输入设备,在将各手指关节的运动状态进行模糊划分的基础上,提出了一种基于多特征匹配和D—S证据理论的单手动态手指语识别方法.
短句来源
     A Recognition Method for Static Words of Chinese Sign Language Based on Fuzzy-Neuro Network
     基于模糊神经网络的静态手语词汇识别(英文)
短句来源
     Chinese Sign Language Finger Alphabet Recognition Based on Color Gloves
     基于颜色手套的中国手指语字母的动静态识别
短句来源
     The Reform of Chinese Sign Language with the Development of Rehabilitation and Teaching for the Deaf Students
     手语研究与聋人康复和聋校教学
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As intelligent human computer interface is being studied,and research on signl anguage synthesis has been paid more and more attention to.But current researches are almost all on graphics about American Sign Language and Japanese Sign Language.In this paper we analyze and compare the features of syntax and semantics of Chinese and the Chinese Sign Language.The Chinese Sign Language model is presented.According to features of syntax and semantics of Chinese and...

As intelligent human computer interface is being studied,and research on signl anguage synthesis has been paid more and more attention to.But current researches are almost all on graphics about American Sign Language and Japanese Sign Language.In this paper we analyze and compare the features of syntax and semantics of Chinese and the Chinese Sign Language.The Chinese Sign Language model is presented.According to features of syntax and semantics of Chinese and the Chinese Sign Language a translation from Chinese to the Chinese Sign Language is implemented by adopting the method of translating to intermediate language based on rules.Furthermore a text driven Chinese Sign Language synthesis system is implemented by driving the model with parameters.Sign Language synthesis is valuable to multimedia data expression and intelligent human computer interface.

随着智能人机接口研究的兴起,手语合成的研究在国际上越来越受到重视。但是现有的研究几乎都是关于美国手语和日本手语的侧重于计算机图形学方面的研究。本文从语言学角度分析并比较汉语和汉语手语各自的语法和语义特点,提出了汉语手语模型。并针对汉语和汉语手语各自的语法和语义特征采用基于规则变换到中间语言的方法实现了由汉语至汉语手语的转换。进而用参数驱动模型,采用图形学方法在计算机上实现了一个由文本驱动的汉语手语合成系统。对多媒体数据表达和智能人机接口,手语合成都非常有意义。

HMM has been used extensively and successfully in speech recognition.Recently it has attracted more attention in the domain of gesture recognition.This paper gives the survey of the application of HMM in this domain.Combining with Chinese sign language and its characteristics,the future prospect of HMM application in sign language recognition is presented in this paper.

HMM在语音识别中已得到广泛应用。近年来,HMM方法在手语识别领域越来越受到关注。本文综述了HMM方法在该领域应用的情况,并结合中国手语及其具体特点,对HMM方法在手语识别领域中的应用前景进行了展望。

Sign language is the language used by the deaf, which is a comparatively steadier expressive system composed of signs corresponding to postures and motions assisted by facial expression. It is communication using motion/vision. The objective of sign language recognition research is to “see” the language of the deaf. The integration of sign language recognition and sign language synthesis jointly comprise a “human computer sign language...

Sign language is the language used by the deaf, which is a comparatively steadier expressive system composed of signs corresponding to postures and motions assisted by facial expression. It is communication using motion/vision. The objective of sign language recognition research is to “see” the language of the deaf. The integration of sign language recognition and sign language synthesis jointly comprise a “human computer sign language interpreter”, which facilitates the interaction between the deaf and their surroundings. The issue of sign language recognition is to recognize dynamic gesture signal, that is, to recognize sign language signal. Considering real time property and recognition performance of the system, Cyberglove is selected as the gesture input device in the system under discussion and DGMM(dynamic Gaussian mixture model) is used as a recognition technique, which models sign language signal by a time varying density function composed of M N Gaussian mixture density function. The system can recognize 274 sign language words coming from the dictionary of Chinese sign language with the accuracy of 98.2%. Compared with the recognition system based on HMM, the recognition rate of DGMM is nearly equal to that of HMM, and the training and recognition speed of DGMM is apparently much faster than that of HMM.

手语是聋人使用的语言 ,是由手形动作辅之以表情姿势由符号构成的比较稳定的表达系统 ,是一种靠动作 /视觉交际的语言 .手语识别的研究目标是让机器“看懂”聋人的语言 .手语识别和手语合成相结合 ,构成一个“人-机手语翻译系统”,便于聋人与周围环境的交流 .手语识别问题是动态手势信号即手语信号的识别问题 .考虑系统的实时性及识别效率 ,系统选取 Cyberglove型号数据手套作为手语输入设备 ,并采用了 DGMM(dynamic Gaussianm ixture m odel)作为系统的识别技术 ,即利用一个随时间变化的具有 M个分量的混合 Gaussian N-元混合密度来模型化手语信号 ,可识别中国手语字典中的 2 74个词条 ,识别率为 98.2 % .与基于 HMM的识别系统比较 ,这种模型的识别精度与 HMM模型的识别精度相当 ,其训练和识别速度比 HMM的训练与识别速度有明显的改善 .

 
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