Efficient eye detection and tracking using smart sensors

Abstract

Smart sensing enables applications with lots of computer-based techniques and algorithms to work in a finer way. We are in era with intelligent machines around us and there sometimes provides a situation of spending of large amount of time due to lack of understanding of those devices. In this paper, we attempt on to find a new interaction method which ease the use of computers or increase interaction efficiency. The most interesting approach that enhances the best way of to find communication between machines and human beings. This enhances the way of communication with the digital devices. Our project enables to have communication using our eye in the desktop environment. This study focus on using eye gazing techniques that allows user to move the mouse cursor using his eye with interpretation of control commands. The desktop environment which has the inbuilt camera enables to achieve the goal in simple and efficient way. The study includes analysis of features using face detection and template matching which have presented promising results.