A real-time large vocabulary continuous recognition system for Chinese Sign Language

	A real-time large vocabulary continuous recognition system for Chinese Sign Language
	Wang, CL ; Gao, W ; Xuan, ZG
	2001
发表期刊	ADVANCES IN MUTLIMEDIA INFORMATION PROCESSING - PCM 2001, PROCEEDINGS
ISSN	0302-9743
卷号	2195 页码:150-157
摘要	In this paper, a real-time system designed for recognizing continuous Chinese Sign Language (CSL) sentences with a 4800 sign vocabulary is presented, The raw data are collected from two CyberGlove and a 3-D tracker. The worked data are presented as input to Hidden Markov Models (HMMs) for recognition, To improve recognition performance, sonic useful new ideas are proposed in design and implementation, including states tying, still frame detecting and fast search algorithm. Experiments were carried out, and for real-time continuous sign recognition, the correct rate is over 90%.
收录类别	SCI
语种	英语
WOS研究方向	Computer Science
WOS类目	Computer Science, Information Systems ; Computer Science, Software Engineering ; Computer Science, Theory & Methods
WOS记录号	WOS:000174348000020
出版者	SPRINGER-VERLAG BERLIN
引用统计	被引频次：20[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://119.78.100.204/handle/2XEOYT63/13430
专题	中国科学院计算技术研究所期刊论文_英文
通讯作者	Wang, CL
作者单位	1.Dalian Univ Technol, Dept Comp, Dalian 116023, Peoples R China 2.Chinese Acad Sci, Inst Comp Technol, Beijing 100080, Peoples R China 3.Harbin Inst Technol, Dept Comp Sci, Harbin 150001, Peoples R China 4.Dalian Univ Technol, Dept Management, Dalian 116023, Peoples R China
推荐引用方式 GB/T 7714	Wang, CL,Gao, W,Xuan, ZG. A real-time large vocabulary continuous recognition system for Chinese Sign Language[J]. ADVANCES IN MUTLIMEDIA INFORMATION PROCESSING - PCM 2001, PROCEEDINGS,2001,2195:150-157.
APA	Wang, CL,Gao, W,&Xuan, ZG.(2001).A real-time large vocabulary continuous recognition system for Chinese Sign Language.ADVANCES IN MUTLIMEDIA INFORMATION PROCESSING - PCM 2001, PROCEEDINGS,2195,150-157.
MLA	Wang, CL,et al."A real-time large vocabulary continuous recognition system for Chinese Sign Language".ADVANCES IN MUTLIMEDIA INFORMATION PROCESSING - PCM 2001, PROCEEDINGS 2195(2001):150-157.