Real Time Eye-Tracking Using Web Camera

Authors

  • Chavda R Dept. of Computer Engineering, D.J. Sanghvi College of Engineering, Mumbai University, India
  • Barveb M Dept. of Computer Engineering, D.J. Sanghvi College of Engineering, Mumbai University, India
  • Doshi A Dept. of Computer Engineering, D.J. Sanghvi College of Engineering, Mumbai University, India
  • Karani R Dept. of Computer Engineering, D.J. Sanghvi College of Engineering, Mumbai University, India

Keywords:

pattern recognition, Human Computer Interface, eye-tracking, Fabian Timm algorithm, blink detection

Abstract

Traditional input devices such as keyboard, mouse and joystick have been around for some while now. With the advancements in the field of Human Computer Interaction, eye tracking or iris tracking is the most promising field. It will fundamentally change the way we interact with computers. The main aim of this project is to develop a low cost application running in an open source environment and a widely used operating system Linux, to replace the traditional computer mouse with the human iris for cursor movement. The target audience majorly consists of handicapped people or people with physical impairment. The system designed aims at detecting the user’s eye movements for navigating the cursor, analyzing the nature and timing of blinks, which in turn is used as an input to the computer as a mouse click. The system consists of a good resolution Logitech C270 HD webcam, as opposed to the otherwise popular infrared cameras available in the market. The existing cameras used for tracking are highly expensive but our system is affordable and easy to use. In the project we have used the Fabian Timm image processing algorithm to achieve iris tracking. With future development, we believe our system has the potential to be used as a fully functional substitute for the mouse pointer.

References

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Fabian Timm, Erhardt Barth, “Accurate Eye Centre Localisation By Means Of Gradients”, Institute for Neuro- and Bioinformatics, University of L¨ubeck, Ratzeburger Allee 160, D-23538 L¨ubeck, Germany, Pattern Recognition Company GmbH, Innovations Campus L¨ubeck, Maria-Goeppert-Strasse 1, D-23562 L¨ubeck, Germany.

Weston Sewell, Oleg Komogortsev, “Real-Time Eye Gaze Tracking With an Unmodified Commodity Webcam Employing a Neural Network”, Proceedings of ACM Conference on Human Factors in Computing Systems (CHI), Atlanta, GA, 2010.

Reji Mathews, Nidhi Chandra, “Computer Mouse using Eye Tracking System based on Houghman Circle Detection Algorithm with Grid Analysis”, International Journal of Computer Applications (0975 – 8887) Volume 40– No.13, February 2012.

Michael Chau, Margrit Betke, “Real Time Eye Tracking and Blink Detection with USB Cameras”, Boston University Computer Science Technical Report No. 2005-12, May 12, 2005.

Onur Ferhat, Fernando Vilariño, “Eye-Tracking with Webcam-Based Setups: Implementation of a Real-Time System and an Analysis of Factors Affecting Performance, Master in Computer Vision and Artificial Intelligence Report of the Master Project Option: Computer Vision”.

Erna Demjén, Viliam Aboši, Zoltán Tomori, “Eye Tracking Using Artificial Neural Networks For Human Computer Interaction”, Physiological Research Pre Press Article.

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Published

2015-04-30

How to Cite

[1]
R. Chavda, M. Barve, A. Doshi, and R. Karani, “Real Time Eye-Tracking Using Web Camera”, Int. J. Comp. Sci. Eng., vol. 3, no. 4, pp. 64–67, Apr. 2015.

Issue

Vol. 3 No. 4 (2015): IJCSE April Edition

Section

Review Article

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