Real time gestural interface for generic applications

In this study we have developed a real time gestural interface based on 3D dynamic hand gesture recognition using Hidden Markov Models (HMM). We developed a system, which captures and recognizes hand gestures of the user wearing colored gloves, where the hand coordinates are obtained via 3D reconstruction from stereo. The gestural interface provides supplementary features such as an interactive training and gesture defining system, a gesture tutor, a self-calibration utility for the cameras and a tool for linking the interface to different applications. The overall model is designed to be a simple and robust gestural interface prototype for various PC applications.