Student: Ibraheem Frieslaar Supervisor: Mehrdad Ghaziasgar

OVERVIEW INTRODUCTION SYSTEM CHANGES IMPLEMENTATION DEMO REFERENCES QUESTIONS & ANSWERS

INTRODUCTION Eye ball tracker Using the webcam to determine eye gaze location Moving the mouse to that location

System Changes  Replaced eye detection with face detection  New method for location the eye  New method to find the iris

Implementation Get Frame

Implementation Haar Features for Face Detect ROI

Implementation Find Nose Half width, Half height

Implementation Calculate Eye Position Half Nose Height Half Nose Width

Implementation Convert To HSV

Implementation Take The Value from HSV

Implementation Apply Threshold Auto Threshold

Implementation Stabilize Points Find Pixel for Iris Compare Frames

Implementation SVM Send Pixel to SVM Move Mouse

Tools Used Windows 7 Visual c++ Opencv 2.1

Demo

REFERENCES OpenCVWiki. [Online]. Heiko Drewes, "Eye Gaze Tracking for Human Computer Interaction," Ludwig-Maximilians-Universität, Munich, 2010.