在此基础上实现了大词汇量手语识别系统。
Based on this, a signer dependent large vocabulary sign language recognition system was designed and implemented.
在手语识别领域中仍然有很多挑战性的难题。
手语识别问题是动态手势信号即手语信号的识别问题。
The issue of sign language recognition is to recognize dynamic gesture signal, that is, to recognize sign language signal.
手语识别的研究具有重大的学术价值和广泛的应用前景。
The research of sign language recognition has great academic value and broad application prospect.
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。
So it is important to solve these two issues for Chinese Sign language recognition and other related fields.
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。
Sign language recognition based on vision is not only fit for people's habit, but also owns widely applied Spaces.
数据差异性使得非特定人手语识别中提取手语数据有效的共同特征非常困难。
Data variation makes it difficult to extract the effective common features from sign language data in signer-independent SLR.
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。
Experiments show the efficiency of the proposed three methods. (B) Viewpoint free sign language recognition under short-duration data deficiency.
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。
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.
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。
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.
本文研究的是基于SPCE061A的多自由度假手语音控制系统，即利用语音识别和无线传输技术实现对多自由度假手的远程语音控制。
This paper describes a speech recognition control system for prosthetic hand based on SPCE061A microcontroller core. A prosthetic hand is controlled by speech recognition and wireless communication.
如何识别既包含手指语信号又包含手势语的信号的手语?。
How to recognize sign language mixed with hand gesture signal and finger spelling signal?
如何识别既包含手指语信号又包含手势语的信号的手语?。
How to recognize sign language mixed with hand gesture signal and finger spelling signal?
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