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A Data mining approach: Modeling the Constraints of Human Hand Motion

Hand gesture recognition and synthesis of a sign are both important for more natural and immersive Human Computer Interaction, many approaches to these tasks involve a large hand motion search space. Human hand motion is highly articulate and highly constrained. Although some constrains can be obtained by hand anatomy and biomechanics, it is an approximation of natural finger motion, in addition, these exist many constrains, which cannot be explicitly represented. In this paper, we presents a data mining approach to cluster hand gesture and then use rough set approach to reduce redundant joints of a hand and the possible hand space. Our presented approach is helpful for analyzing hand motion and hand motion capturing. Keyword: Human Computer Interaction, Hand gesture recognition, Data mining, Rough Set