摘要
手指语是用手指指式进行交流 ,一个指式代表一个汉语拼音字母 ,按照汉语拼音方案拼成普通话 .文中提出了一种基于多特征多分类器的汉语手指语识别方法 ,并利用该方法建造了手指字母流识别系统 .实验表明 。
Finger-spelling language is the language that uses finger patterns to communicate. One finger pattern stands for one Chinese spelling alphabet, which is spelled into mandarin according to Chinese spelling scheme. A learning and recognition algorithm of Chinese finger alphabet flow based on multi-features and multi-classifiers is proposed, and a Chinese finger alphabet flow recognition system is built on the algorithm. Experiment shows that the system apparently outgoes the recognition system based on a single classifier.
出处
《自动化学报》
EI
CSCD
北大核心
2001年第6期836-840,共5页
Acta Automatica Sinica
基金
国家"八六三"高技术研究发展计划 (863 -3 0 6-ZT0 3 -0 1 -1 )
国家自然科学基金 (697893 0 1 )
国家教委跨世纪人才基金
中国科学院百人计划资助课题
关键词
手语识别
多特征多分类器
神经网络
汉语手指字母流识别系统
Classification (of information)
Communication
Learning algorithms
Natural language processing systems
Neural networks
