... with large vocabulary-大词汇量的中国手语识别与基于HMM和SVM多层体系结构分类-知来数据 keywords sign language recognition, HMM, SVM, multilayer architecture classifier. [gap=291]关键字手语识别，HMM，SVM，多层体系结构分类。
基于64个网页-相关网页
continuous sign language recognition 连续手语识别
signer-independent sign language recognition 非特定人手语识别
signer independent sign language recognition 非特定人手语识别
a signer-independent sign language recognition 非特定人手语识别
Improving signer-independent sign language recognition 非特定人手语识别统计模型的改进及应用
Sign Language Recognition is a communication way between the deaf and the health.
手语识别是聋人与健全人自然交流的途径，是手势识别的重要研究内容。
参考来源 - 基于7Hu不变矩特征量的中国手指语字母识别算法·2,447,543篇论文数据，部分数据来源于NoteExpress
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。
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