Using Real Time Camera Control Computer Application in Image Processing

Abstract

Human computer interaction exits in our daily lives. It is usually achieved by using a
physical controller such as a mouse, keyboard or touch screen. In market various hand tracking
systems available but they are very complex and expensive. In my dissertation work I will try to
design and develop neural network method (Principal component analysis) for hand/figure tracking
and gesture recognition. My propose work is develop an efficient method that allows robust and fast
hand tracking despite complex background. System able to translate the detected hand or gestures
into the different functional inputs and interact with other applications based on inputs. I will try to
control several computer applications like zooming for MATLAB Generated Figure and also interact
with hardware interface controller like mouse using proposed method. Result of my dissertation
work show that a perceptive HCI (Human Control Interface), improve accuracy, image quality and
given efficient and improved performance compare to existing system.