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;
