Computer monitoring and control with hand movements

The devices such as mouse, keyboard used for controlling of computer have various limitations. The users must make physical contact with the devices and have a restricted away because of connection with wire to control computer by using these devices. Traditional communication devices for computer-person can´t provide user wireless computer control without any physical. In this study, Computer monitoring and controlling with hand movements are implemented by using image processing and computer vision techniques to minimize these limitations. In proposed study, firstly it is expected that the user enters camera´s field of view using computer camera. face of user entering the camera´s field of view is detected with Haar Classifier. Hand region is detected by finding the dynamic range of skin color in YCbCr color space from the facial region. The hand region is tracked with Biggest Blob Tracking Technique, and features of hand are extracted by using Convexity Defect-Hull during tracking. Finally, position of mouse is controlled according to features of hand region, and Computer monitoring and controlling with hand movements are implemented by tracking hand gestures.