EYE GAZE BASED INTERACTION FOR PHYSICALLY DISABLE PATIENT

Abstract

In the last couple of years Human-computer interaction (HCI) is playing very important role in technology revolution. The arrival of small devices (like tablets, Ipad and android phones) that allow touch control has been warmly praised. Researchers and engineers have also determined the eye sight potential as a possible of interaction. To help disabled patients, some different kind of commercial solutions are also available in the Tech-Mart, but they are not affordable for everyone and provide less capacity ofuse. Our project encourages the introduction of a real-time low-cost system for human-computer interaction based on perception. In the medical field “Eye Tracking” is an important area, especially in psychiatry to give an idea ofpatients with mental disorders. Today, the availability of many kinds of devices with powerful equipment’s can provide a way to analyse whether the of these machines can be traced without using any extra components. Our project will attempt to find out the possibility of “Tracking centre of the eye-pupil using computers and webcam”. To complete this application, “Haar Classifiers” and “Tracking of Eye” algorithms are applied, template matching and bring out the eye using “Image gradients”. Our application was also applied as an independent activity in the background to analyse the effectiveness, performance and easiness of these two methods. “Haar classifiers”, “Template matching”, and “Eye detection” using chromatography algorithms show favourable outcome.