Large vocabulary sign language recognition based on fuzzy decision trees

doi:10.1109/TSMCA.2004.824852

	Large vocabulary sign language recognition based on fuzzy decision trees
	Fang, GL ; Gao, W ; Zhao, DB
	2004-05-01
发表期刊	IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART A-SYSTEMS AND HUMANS
ISSN	1083-4427
卷号	34 期号:3 页码:305-314
摘要	The major difficulty for large vocabulary sign recognition lies in the huge search space due to a variety of recognized classes. How to reduce the recognition time without loss of accuracy is a challenging issue. In this paper, a fuzzy decision tree with heterogeneous classifiers is proposed for large vocabulary sign language recognition. As each sign feature has the different discrimination to gestures, the corresponding classifiers are presented for the hierarchical decision to sign language attributes. A one- or two- handed classifier and a hand-shaped classifier with little computational cost are first used to progressively eliminate many impossible candidates, and then, a self-organizing feature maps/hidden Markov model (SOFM/HMM) classifier in which SOFM being as an implicit different signers' feature extractor for continuous HMM, is proposed as a special component of a fuzzy decision tree to get the final results at the last nonleaf nodes that only include a few candidates. Experimental results on a large vocabulary of 5113-signs show that the proposed method dramatically reduces the recognition time by 11 times and also improves the recognition rate about 0.95% over single SOFM/HMM.
关键词	finite state machine fuzzy decision trees hidden Markov models (HMM) self-organizing feature maps (SOFM) sign language recognition
DOI	10.1109/TSMCA.2004.824852
收录类别	SCI
语种	英语
WOS研究方向	Computer Science
WOS类目	Computer Science, Cybernetics ; Computer Science, Theory & Methods
WOS记录号	WOS:000220944400002
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
引用统计	被引频次：68[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/2XEOYT63/9886
专题	中国科学院计算技术研究所期刊论文_英文
通讯作者	Fang, GL
作者单位	1.Comp Technol Inst, Beijing 100080, Peoples R China 2.Harbin Inst Technol, Dept Comp Sci, Harbin 150001, Peoples R China
推荐引用方式 GB/T 7714	Fang, GL,Gao, W,Zhao, DB. Large vocabulary sign language recognition based on fuzzy decision trees[J]. IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART A-SYSTEMS AND HUMANS,2004,34(3):305-314.
APA	Fang, GL,Gao, W,&Zhao, DB.(2004).Large vocabulary sign language recognition based on fuzzy decision trees.IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART A-SYSTEMS AND HUMANS,34(3),305-314.
MLA	Fang, GL,et al."Large vocabulary sign language recognition based on fuzzy decision trees".IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART A-SYSTEMS AND HUMANS 34.3(2004):305-314.