Vision Based Gesturally Controllable Human Computer Interaction System

Human computer interaction with simple hand gesture recognition system as the interface using computer vision techniques has been developed. Usage of visually interpreted hand gestures as the interface makes it a more natural and intuitive human computer interaction (HCI) system. In this system model, interfacing by traditional methods in virtual environments like a joystick, mouse, and keyboard and even if the modern method like touch screen is also replaced by using hand gestures. Here the computer is able to visually recognize hand gestures from the video obtained using a webcam. In the hand gesture recognition system, the skin colour thresholding model is used for segmentation. Various features are extracted and then classified using an efficient classifier to generate more accurate and better result. Apart from HCI, this vision based hand gesture recognition can also be used for applications like industrial robot control, sign language translation, in the rehabilitation device for people with upper extremity physical impairments etc.