A Survey Paper on Hand Gesture Recognition

被引：0
|
作者：
Nandwana, Bhumika [1 ]
Tazi, Satyanarayan [1 ]
Trivedi, Sheifalee [1 ]
Khunteta, Dinesh Kumar [1 ]
Vipparthi, Santosh Kumar [2 ]
机构：
[1] Govt Engn Coll, Dept Comp Sci, Ajmer, India
[2] Malaviya Natl Inst Technol, Dept Comp Sci, Jaipur, Rajasthan, India
来源：
2017 7TH INTERNATIONAL CONFERENCE ON COMMUNICATION SYSTEMS AND NETWORK TECHNOLOGIES (CSNT) | 2017年
关键词：
Image processing; noise removal; feature extraction and matching; static and dynamic gesture; SYSTEM; MODELS;
D O I：
10.1109/CSNT.2017.28
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
Hand gesture recognition system has a good attention now days because of easy interaction between human and machine. The focus of developing hand gesture is to create a better communication between human and computer for conveying information. This paper presents a survey on recent technology of hand gesture recognition both static and dynamic. It shows all method that was used for hand gesture recognition in different research paper.
引用
收藏
页码：147 / 152
页数：6
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