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Jan 31, 2015
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Abstract

This Paper is Introduced an eye controlled system. Traditionally, human computer interface uses keyboard, mouse as an input devices but this paper presents hand free interface between computer and human. Here providing a novel idea to control computer mouse cursor using human eyes movement. It controls mouse-moving by automatically affecting the position where eyesight focuses on and simultaneously mouse- click by affecting blinking action. In this paper we describe Face detection and Eye tracking technology with Algorithm of proposed system.  This technology is very helpful for solving the HMI problems of the disabled and providing them a way to communicate with the outside world, improve their ability of living and help them regain confidence.

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Author Biographies

Prashant Salunkhe, Sandip Institute of Technology and Research Center Nashik

AssistantProfessor, E&TC

Ashwini R. Patil, Sandip Institute of Technology and Research Center Nashik

M. E. Student, E&TC
How to Cite
Salunkhe, P., & Patil, A. R. (2015). A Review on Device Controlled Using Eye Movement. International Journal of Emerging Trends in Science and Technology, 2(01). Retrieved from http://igmpublication.org/ijetst.in/index.php/ijetst/article/view/474

References

1. J.Wang, ‘’Integration of eye-gaze, voice and manual response in multimodal user interface’’, proc. IEEE Int. Conf. Systems, Man and Cybernetics, pp.3938-3942 1995
2. B. Noureddin, P.D. Lawrence and C.F. Man, A Non-Contact Device for Tracking Gaze in a Human Computer Interface, Computer Vision and Image Understanding, vol. 98, no. 1, pp. 52-82, 2005.
3. Lim Choon Kiat, and Surendra Ranganath, "One-Time Calibration Eye Gaze Detection System", International Conference on Image Processing (ICIP), Singapore , 2004, pp.873-876.
4. T. Ohno, N. Mukawa, and A. Yoshikawa, “Free gaze: A gaze tracking system for everyday gaze interaction", Eye Tracking Research Applications Symp., 2002 Tracking Research and Applications Symposium [C], 2002. 125 -132.
5. R. T. Kumar, S. K. Raja and A. G. Ramakrishna, "Eye detection using colour cues and projection functions," In Proc. Int. Conf. Image Processing, vol.3, pp.111-337-340, 2002.
6. X. Liu, F. Xu and K. Fujimura, Real-Time Eye Detection and Tracking for Driver Observation under Various Light Conditions, Proc. IEEE Intelligent Vehicle Symp. 2002.
7. Grauman, K.; Betke, M.; Gips, J.; Bradski, G.R. , “Communication via eye blinks‐ Detection and duration analysis in real-time”, IEEE Conference publications, 2009
8. Yang G., Huang, T.S.: Human face detection in complex background. Pattern Recognise. 27(1), 53–63 (1994)
9. Akhil Gupta, Akash Rathi, Dr. Y. Radhika, “Hands- Free PC Control” Controlling of Mouse Cursor Using Eye Movement, International Journal of Scientific and Research Publications, Volume 2, Issue 4, April 2012
10. Lanitis, C.J., Taylor, T.F.C.: An automatic face identification system using flexible appearance models. Image Vis. Comput. 13(5), 393–401 (1995)
11. Yingxi Chen, “Design and evaluation of a human-computer interface based on electro-oculography”, 2003, unpublished. URL: vorlon.case.edu/~wsn/theses/ yingxichen_thesis.pdf
12. Shrunkhala Wankhede, S. A. Chhabria, R. V. Dharaskar, ‘’Controlling Mouse Cursor Using Eye Movement’’, IJAIEM, 2013.
13. Margrit Betke, James Gips,Peter Fleming ,“The Camera Mouse: Visual Tracking of Body features to Provide Computer Access for People With Severe Disabilities”, IEEE Transactions On Neural Systems And Rehabilitation Engineering, Vol.10, No.1, March 2008.
14. Jixu Chen, Yan Tong ,Wayne Grayy ,Qiang Jiz “A Robust 3D Eye Gaze Tracking System”,IEEE ,2011
15. Sidra Naveed, Bushra Sikander, and Malik Sikander Hayat Khiyal “Eye Tracking System with Blink Detection”, IEEE,2012