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Articulation Using Eye Gaze Tracing

International Journal of Computer Science (IJCS Journal) Published by SK Research Group of Companies (SKRGC) Scholarly Peer Reviewed Research Journals

Format: Volume 5, Issue 2, No 05, 2017

Copyright: All Rights Reserved ©2017

Year of Publication: 2017

Author: S.Kanimozhi,R.Arivumalar,S.Sudha

Reference:IJCS-324

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Abstract

The aim of this paper is to find new forms of interaction utilizing eye gaze and suitable for standard users. Today eye gaze plays a vital role in modern communication technology to provide fast and accuracy. Nowadays many handheld devices are designed to adapt eye gaze technology. This paper presents the basic ideas about the working of modern eye gaze tracing and usability method for recording of interaction and gaze activity. This gave a rise to a lot of research in the field of human computer Interaction.

References

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[2] Biedert, R., Buscher, G., and Dengel, A. 2010. The eyeBook - Using eye tracking to enhance the reading experience. InformatikSpektrum 33, 3 (June), 272–281.

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[4] Demjen E., Abosi V., and Tomori, (2011) Eye Tracking Using Artificial Neural Networks for Human Computer Interaction, Physiological Research.

[5] Huchuan Lu, Shipeng Lu and Gang Yang: (2012) Robust Eye Tracking in Video Sequence. Journal of Circuits, Systems, and Computers.Breckling, Ed., The Analysis of Directional Time Series: Applications to Wind Speed and Direction, ser. Lecture Notes in Statistics. Berlin, Germany: Springer, 1989, vol. 61.

[6] Jacob, R. J. (1990) What You Look at is What You Get: Eye Movement-Based Interaction Techniques. In Human Factors in Computing Systems: CHI ‟90 Conference Proceedings, pp. 11-18. ACM Press.

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[8] Paul Smith, Mubarak Shah, and N. da Vitoria Lobo, (2000) Monitoring Head/Eye Motion for Driver Alertness with One Camera, IEEE International Conference on Pattern Recognition, pp. 4636-4635.

[9] Sidra Naveed, Bushra Sikander, Malik Sikander, Hayat Khiyal “Eye Tracking System Blink Detection”, IEEE, 2012.

[10] Sugano Y, Matsushita Y and Sato Y, (2012) Appearance-based Gaze Estimation using Visual Saliency, IEEE Trans. Pattern Analysis and Machine Intelligence.

Keywords

Eye gaze, Communication, Fast, Accuracy, Technology.

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