Open Access Journal

ISSN : 2394-2320 (Online)

International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Computer Science and Engineering

Open Access Journal

International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Computer Science and Engineering

ISSN : 2394-2320 (Online)

Eye Gaze Detection Technique to Interact With Computer.

Author : Payal Shivhare 1 Lokesh Jindal 2 Shubhangi T. Patil 3 Mangesh Meshram 4 Charushila Rahangdale 5

Date of Publication :7th March 2015

Abstract: In this world of technology everything is being computerized. But there are many people with several disabilities like handicapped people who are unable to take advantage of this technology. The system proposed an efficient approach to handle the computer. The built system software uses the webcam to control the cursor. As the webcam is easily available and most of the new system comes with built in webcams so it will be very beneficial and cost effective. This system is based on eye tracking, at first uses face detection and from that it extracts all image features. From extracted image features it uses pupil to control the cursor of mouse.

Reference :

    1. J. Zhu and J. Yang, “Sub pixel eye gaze tracking”, IEEE Conference on Automatic Face and Gesture Recognition, pages 124- 129, May 2002.
    2. S. Kawato and N. Tetsutani, “Detection and tracking of eyes for gaze camera control”, Proceedings of the 15th International Conference on Vision Interface, 2002.
    3. X. Long, O. K. Tonguz, and A. Kiderman, “A high speed eye tracking system with robust pupil centre estimation algorithm”, The 29th Annual International Conference of the IEEE on Engineering in Medicine and Biology Society, August 2007, pp. 3331- 3334.
    4. R. Stiefelhagen, J. Yang and A. Waibel, “Tracking eyes and monitoring eye gaze”, Proceedings of the Workshop on Perceptual User Interfaces, 1997.
    5. S. Amarnag, R. S. Kumaran and J. N. Gowdy, “Real time eye tracking for human computer interfaces” , Proceedings of the International Conference on Multimedia and Expo, Volume 3, July 2003, pp. 57-60
    6. S. Ramadan, W. A. Almageed and C. E. Smith, “Eye tracking using active deformable models”, Processing of the Conference on Computer Vision, Graphics and Image, India, December 2002.
    7. T. Akashi, Y. Wakasa and K. Tanaka, “Using genetic algorithm for eye detection and tracking in video sequence”, Journal of Systemics, Cybernetics and Informatics, Volume 5, No. 2, pp. 72-78, 2007 .
    8. R. Argue, M. Boardman, J. Doyle and G. Hickey, “Building a low-cost device to track eye movement”, December 2004.
    9. C. Harris and M. Stephens, “A combined corner and edge detector”, Proceedings of the 4th Alvey Vision Conference, 1988, pp. 147-151.
    10. G. Derpanis, “The Harris corner detector”, York University, October 2004.

Recent Article