earticle

영어

The study of gesture is still in its early childhood, gesture is present early in evolution, and is used to communicate before a child has the ability to enunciate. This paper describes the use of fast Fourier transforms both for preprocessing and feature extraction of hand gestures images. First the input gesture images are padded as the padding is necessary before applying Fourier transform to the image. Directional derivatives are then applied to the real part of the filtered images. Derivative angles are divided into the bins. These bins provide the final feature vectors. Distance based techniques were used for gesture classification. The real time simulation software WEBOTS is used for performing the classified gesture.