Fuzzy logic aided gesture recognition

Abstract

This paper describes a fuzzy logic based gesture recognition procedure for a user interface of a mobile terminal. In the presented solution, a terminal includes three acceleration sensors positioned like xyz co-ordinate system in order to get three-dimensional acceleration vector, xyz (gesture). The acceleration vector is used as an input to a reasoning unit for classification. The method is compared to the fuzzy c-means and to the hidden Markov model methods. The advantages of the developed fuzzy method, which classified successfully the test sets, are computational effectiveness, lower data sample rate requirement, simple implementation and reliability. Therefore, the gesture recognition can be applied to the terminals to replace traditional keyboard functions. The computational effectiveness and low sample rate requirement also increases the operational time of device. The easy implementation and reliability are important factors for the success of the new technology's spreading on the mass market of terminals. © Springer-Verlag 2003.