作者投稿和查稿 主编审稿 专家审稿 编委审稿 远程编辑

计算机工程 ›› 2011, Vol. 37 ›› Issue (22): 168-170. doi: 10.3969/j.issn.1000-3428.2011.22.055

• 人工智能及识别技术 • 上一篇    下一篇

基于数据手套的汉语手指字母流识别系统

刘明涛,雷 勇   

  1. (西北工业大学动力与能源学院,西安 710072)
  • 收稿日期:2011-05-11 出版日期:2011-11-18 发布日期:2011-11-20
  • 作者简介:刘明涛(1986-),男,硕士研究生,主研方向:虚拟现实,模式识别,航空发动机测试;雷 勇,教授

Chinese Finger Alphabet Flow Recognition System Based on Data Glove

LIU Ming-tao, LEI Yong   

  1. (School of Power and Energy, Northwestern Polytechnical University, Xi’an 710072, China)
  • Received:2011-05-11 Online:2011-11-18 Published:2011-11-20

摘要: 针对目前研究中对数据手套硬件要求较高的现状,研究汉语手指字母流的识别分类问题,提出一种低要求、高识别精度的数据手套方法。该方法使用BP神经网络结合马尔科夫模型,按照汉语拼音规则进行输入拼音序列概率的估计,输出汉语拼音。仿真实验结果表明,采用该方法能获得91%以上的单个手指字母识别率,并能有效输出汉语拼音。

关键词: BP神经网络, 马尔科夫模型, 数据手套, 手指字母流分类, 在线识别

Abstract: This paper studies the Chinese finger alphabet flow recognition and classification. As there is a problem that higher hardware requirements on data gloves are needed for the current study, a kind of lower hardware requirements and higher recognition rate method is proposed. This method uses BP neural network and Markov model and estimates the input sequence probability by Chinese alphabet spelling rules to output Chinese alphabet flow. Experimental results show that this method can get more than 91% recognition rate and output alphabet flow effectively, which proves the method is effective.

Key words: BP neural network, Markov model, data glove, finger alphabet flow classification, online identification

中图分类号: