Fuzzy sensor for gesture recognition based on motion and shape recognition of hand

被引：0
|
作者：
Benoit, E
Allevard, T
Ukegawa, T
Sawada, H
机构：
[1] Univ Savoie, LISTIC ESIA, F-74016 Annecy, France
[2] Kagawa Univ, Fac Engn, Takamatsu, Kagawa 7610396, Japan
来源：
VECIMS'03: 2003 IEEE INTERNATIONAL SYMPOSIUM ON VIRTUAL ENVIRONMENTS, HUMAN-COMPUTER INTERFACES AND MEASUREMENT SYSTEMS | 2003年
关键词：
D O I：
暂无
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
The gesture recognition needs to take into account very the fusion of hand shape different information. It needs toper and motion information. This paper presents a solution using a fuzzy sensor approach for the aggregation of such measurement information. The motion recognition is based on a measurement represented by numerical fuzzy subsets, and the shape recognition is based on measurements represented by lexical fuzzy subsets.
引用
收藏
页码：63 / 67
页数：5
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