There are many challenges in sign language recognition.
在手语识别领域中仍然有很多挑战性的难题。
The research of sign language recognition has great academic value and broad application prospect.
手语识别的研究具有重大的学术价值和广泛的应用前景。
So it is important to solve these two issues for Chinese Sign language recognition and other related fields.
这两个问题的解决将对中国手语识别及其它相关领域具有重要的意义。
Based on this, a signer dependent large vocabulary sign language recognition system was designed and implemented.
在此基础上实现了大词汇量手语识别系统。
Sign language recognition based on vision is not only fit for people's habit, but also owns widely applied Spaces.
基于视觉的手语识别不仅更加符合人们的习惯而且具有非常广阔的应用空间。
The issue of sign language recognition is to recognize dynamic gesture signal, that is, to recognize sign language signal.
手语识别问题是动态手势信号即手语信号的识别问题。
Experiments show the efficiency of the proposed three methods. (B) Viewpoint free sign language recognition under short-duration data deficiency.
实验显示了这些方法的有效性。二是短时数据缺失下稳定而有效的视角无关手语识别方法研究。
Because the FSV recognition framework employs the image coordinate of feature points, it is a way to viewpoint free sign language recognition from viewpoint dependent features.
由于是直接基于特征点的图像坐标进行识别，此框架提供了一种使用视角相关特征而实现视角无关手语识别的可能性。
As one of the most important parts of human-computer interaction, the research and implementation of sign language recognition has important academic value as well as broad application aspect.
手语识别不仅可以为聋人提供方便，同时也可作为拟人化人机交互的一个研究平台，具有重要的学术价值和广泛的应用前景。
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。
Our method had been applied in the new version of china sign language electronic dictionary. Experimental results show that the proposed method dramatically improves the recognition rate about 30%.
本文提出的方法已经成功的应用在新版中国手语电子辞典中，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。
Our method had been applied in the new version of china sign language electronic dictionary. Experimental results show that the proposed method dramatically improves the recognition rate about 30%.
本文提出的方法已经成功的应用在新版中国手语电子辞典中，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。
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