DocumentCode
2143830
Title
A Model of Cluster-Based Rough Set and its Application
Author
Xu, Yan
Author_Institution
Beijing Language & Culture Univ., Beijing, China
fYear
2010
fDate
14-16 Aug. 2010
Firstpage
562
Lastpage
567
Abstract
Rough set theory is a mathematical tool to deal with vagueness and uncertainty, but it lacks processing power of actual data and missing value. This paper proposed a model of cluster-based rough set, which solved problems in dealing with actual data and missing value, and then, we applies it to human-computer interaction, the difficulty of gesture interaction lies in the complexity and verisimilitude. Using this model, we found 5 unnecessary degrees of freedom for hand joints, that is, a kind of constraint of hand movement was found, the difficulties in the gesture was largely reduced.
Keywords
gesture recognition; human computer interaction; pattern clustering; rough set theory; uncertainty handling; cluster based rough set; gesture interaction; human computer interaction; rough set theory; uncertainty; Data models; Euclidean distance; Fingers; Handicapped aids; Human computer interaction; Joints; Set theory; artificial intelligence; clustering; gestures; human-computer interaction; rough set;
fLanguage
English
Publisher
ieee
Conference_Titel
Granular Computing (GrC), 2010 IEEE International Conference on
Conference_Location
San Jose, CA
Print_ISBN
978-1-4244-7964-1
Type
conf
DOI
10.1109/GrC.2010.109
Filename
5575997
Link To Document