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Hand Gesture Classification Using Different Classifiers With Weka

Author:

Kavitha, S and Hanumanthappa, M.

Subject Area:

Physical Sciences and Engineering

Abstract:

In this paper we proposed the comparative study of hand gesture classification for the Indian Sign Language hand gestures using different class association rules and classification models. In knowledge discovery process association rule mining and classification aretwo important techniques of data mining and widely used in various fields. This paper tries to explain the basics of class association rule mining and classification through WEKA for hand gestures. How problems of classification and prediction can be solved using class association rules were discussed. In the simulation on WEKA, we have used selected classification techniques to propose the appropriate result from our training dataset.

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