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http://dx.doi.org/10.5762/KAIS.2012.13.4.1849

Remote Control through Tracking of Pupil on Mobile Device  

Kim, Su-Sun (Dept. of Computer Information, Hanyang Women's College)
Kang, Seok-Hoon (Dept. of Embedded System Engineering, University of Incheon)
Kim, Seon-Woon (Dept. of Embedded System Engineering, University of Incheon)
Publication Information
Journal of the Korea Academia-Industrial cooperation Society / v.13, no.4, 2012 , pp. 1849-1856 More about this Journal
Abstract
This paper proposes a method to track the center of pupil and perform the remote control for interface based on the substituted commands according to movements of pupil under smart phone environment. The proposed method, which is a remote control through the movement of eyes, may be helpful for the handicapped people or users who want a more convenient input method. A method based on webcam, which is representative one among the previous methods to track pupil of user, has a few limitations on distance and angle between location of user and webcam. However, this paper uses smart phone that is convenient to carry. The proposed method can perform the remote control through tracking of pupil using wireless network without any restriction on the location of users. Thus, the method is effectively applied for controlling the smart TV that should be controlled on the distance as well as the remote control for PC.
Keywords
Recognition of eye movement; Image processing; Mobile devices; Remote control;
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  • Reference
1 M. Betke and N. Makris, "Fast Object Recognition in Noisy Images using Simulated Annealing," in Proc. Fifth Int. Conf. Computer Vision, Boston, MA, USA, pp.523-530, 1995.1.
2 A. Yuille, P. Hallinan, and D. Cohen, "Feature Extraction from Faces using Deformable Templates," Int. Journal of Computer Vision, Vol.8, No.2, pp.99-111, 1992. 8.   DOI   ScienceOn
3 P. Viola and M. Jones, "Rapid Object Detection using a Boosted Cascade of Simple Features," in Proc. IEEE Conf. Computer Vision and Pattern Recognition, Kauai, HI, USA, pp.511-518, Dec. 2001.
4 P. Viola and M. Jones, "Robust Real-time Face Detection," Int. Journal of Computer Vision, Vol.57, No.2, pp.137-154, 2004.5.   DOI
5 T. Ephraim, T. Himmelman, and K. Siddiqi, "Real-Time Viola-Jones Face Detection in a Web Browser," in Proc. Canadian Conf. Computer and Robot Vision, Kelowna, BritishColumbia, Canada, pp.321-328, 2009.5.
6 J. Ren, N. Kehtarnavaz, and L. Estevez, "Real-Time Optimization of Viola-Jones Face Detection for Mobile Platforms," in Proc. IEEE Dallas Circuits and Systems Workshop SoC: Design, Applications, Integration, and Software, Dallas, TX. USA, pp.1-4, 2008.8.
7 Kihan Shin, Junchul Chun, "Real Time Eye Tracking based Interface System", Conference of the Korean Society For Internet Information, pp.247-251, 2007.6
8 Dan Witzner Hansen, Qiang Ji, "In the Eye of the Beholder: A Survey of Models for Eyes and Gaze", IEEE Transactions on pattern analysis and machine intelligence, pp.478-500. 2010.3
9 Do Hyoung Kim, Jea Hean Kim, Myung Jin Chung, "Human-Computer Interface using the Eye-Gaze Direction", Journal of IEEK Vol.38, No.6, pp.46-56, 2001.11
10 Kang Ryoung Park, "Gaxe Detection System by Wide and Narrow View Camera", Journal of Korea Information and Communications Society Vol.28, No.12, pp.1239-1249, 2003.12
11 Dongheng Li, David Winfield, Derric J. Parkhurst, "Starburst: A hybrid algorithm for video-based eye tracking combining feature-based and model-based approaches", IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2006.1
12 Sun-gil Cho, Min Cheol Whang and Munsung Han, "Cursor Movement System by BCI(Brain Computer Interface"in Proc, Ergonomics Society of Korea Conference, pp.49-52, 2002.11
13 Zhiwei Zhu, Quiang Ji, "Novel Eye Gaze Tracking Techniques Under Natural Head Movement", IEEE Transactions on biomedical engineering, pp.2246-2260, 2007.12
14 Yoshinobu Ebisawa, "Robust pupil detection by image difference with positional compensation", International Conference, pp.143-148, 2009.5