Virtual Hand - Hand Gesture Recognition System

The goal of this project to create a hand gesture recognition application, which is useful in teaching hearing-impaired or deaf people. The hardware component of the system is a stereo camera, which made from two webcams. The hand detection based on a preprocess part, that is a HSV color conversation with an intensity based threshold filter, and a main process part, which is a thinning skeletonization algorithm. The solution of the recognition process is solved by a neural network. The input layer get vectors, that are created from the main feature points of the detected hand, and the output layer represents the parameters of a three dimensional hand model.