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JACIII Vol.17 No.6 pp. 843-850
doi: 10.20965/jaciii.2013.p0843
(2013)

Paper:

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Improvement of Eye Gesture Interface

Dekun Gao, Naoaki Itakura, Tota Mizuno, and Kazuyuki Mito

Department of Informatics, Graduate School of Informatics and Engineering, The University of Electro-Communications, 1-5-1 Chofugaoka, Chofu, Tokyo 182-8585, Japan

Received:
May 16, 2013
Accepted:
September 26, 2013
Published:
November 20, 2013
Creative Commons License
Keywords:
eye gesture, eye movement, diagonal, ACEOG
Abstract
Human-computer interaction is an important field in computer science. One means of such interaction is an eye gaze interface using both optical and electrical methods. Conventional optical devices for measuring eye movement are generally expensive and restrict user head movement. In this paper, we propose a novel eye gesture input interface (EGII) that does not require a head-mounted display. Precise eyemovement in combinations of direction is determined by electrooculographic signals amplified via AC coupling. We also developed and evaluated direction algorithms for determining features of the novel EGII. The best algorithm showed a success rate of 97% in recognizing eye movement in different direction combinations. We also created a small portable measurement device containing a biological amplifier to amplify signals and an A/D board for importing signals. Mean accuracy for the EGII was 95.6% out of 12 possible choices using the selected algorithm and our device. This device can thus be used anywhere and anyone.
Cite this article as:
D. Gao, N. Itakura, T. Mizuno, and K. Mito, “Improvement of Eye Gesture Interface,” J. Adv. Comput. Intell. Intell. Inform., Vol.17 No.6, pp. 843-850, 2013.
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References
  1. [1] K. Itoh, Y. Sudoh, and T. Ifukube, “Eye Gaze Communication System for People with Severe Physical Disabilities,” Trans. of the Institute of Electronics, Information and Communication Engineers, D-I, J83-D-I-5, pp. 495-503, 2000.
  2. [2] R. Kobayashi, A. Otake, T. Nakajima, N. Fukuhara, K. Takeda, and C. Hatsutori, “Clinical Usefulness in Patients with ALS: Introduction of the Device to Communicate in Input Method Gaze,” J. of Japanese Physical Therapy Association, Vol.28, 295, 2001.
  3. [3] H. Shimoda, Y. Nikaido, and N. Umeda, “A Prototype of Headattached Interface Device and Its Functional Evaluation,” J. of the Society of Instrument and Control Engineers, Vol.36, No.11, pp. 972-979, 2000.
  4. [4] H. Shimoda, Y. Nikaido, and N. Umeda, “Study of Eye-gaze Input Interface Configuration by Eye-Sensing HMD,” Human Interface Society 2000, pp. 239-242, 2000.
  5. [5] T. E. Hutchinson, K. P. White Jr., W. N. Martin, K. C. Reichert, and L. A. Frey, “Human-computer Interaction Using Eye-gaze Input,” IEEE Trans. on System, Man, and Cybernetics, Vol.19, No.6, pp. 1527-1533, 1989.
  6. [6] P. Thoumie, J. R. Charlier, M. Alecki, D. D’Erceville, A. Heurtin, J. F.Mathe, G. Nadeau, and L.Wiart, “Clinical and functional evaluation of a gaze controlled system for the severely handicapped,” Spinal Cord, Vol.36, No.2, pp. 104-109, 1998.
  7. [7] M. Betke, J. Gips, and P. Fleming, “The Camera Mouse: Visual Tracking of Body Features to Provide Computer Access for People with Severe Disabilities,” IEEE Trans. on Neural Systems and Rehabilitation Engineering, Vol.10, No.1, pp. 1-10, 2002.
  8. [8] K. Tanaka and K. Fukui, “A User Interface via Agent-Based Interaction Using Gaze Input,” Trans. of the Institute of Electronics, Information and Communication Engineers, D-II, Vol.J85-D-II, No.9, pp. 1464-1472, 2002.
  9. [9] 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, pp. 52-82, 2005.
  10. [10] T. Yonezawa, K. Ogata, K. Matsumoto, and S. Hirase, “A Study on Reducing the Detection Errors of the Center of the Iris for an Eye-Gaze Interface System,” IEEJ Trans. on Electronics, Information and Systems, Vol.130, No.3, pp. 442-449, 2010.
  11. [11] N. Itakura, T. Ota, and K. Sakamoto, “Investigation for Calculation Method of Eye-Gaze Shift from Electro-Oculograph Amplified by AC Coupling with Using Eye-Gaze Input Interface,” The IEICE Trans. on Information and Systems (Japanese edition), Vol.J90-D, No.10, pp. 2903-2913, 2007.
  12. [12] N. Itakura, T. Ota, and Y. Shimizu, “Eye-gaze input interface with head mounted display and electro-oculograph amplified by AC coupling,” Human interface, The Trans. of Human Interface Society, Vol.9, No.4, pp. 75-84, 2007.
  13. [13] K. Sakamoto and N. Itakura, “Multi Selection Type Eye-Gaze Input Interface Using Eye Movement of Diagonal Direction with EOG Amplified by AC Coupling,” IEICE Trans. on Information and Systems D, Vol.J92-D, No.2, pp. 189-198, 2009.
  14. [14] N. Itakura and K. Sakamoto, “A new method for calculating eye movement displacement from AC coupled electro-oculographic signals in head mounted eye-gaze input interfaces,” Biomedical Signal Processing and Control, Vol.5, pp. 142-146, 2010.
  15. [15] J. Gips and C. P. Olivieri, “EagleEyes: An Eye Control System for Persons with Disabilities,” 11th Int. Conf. Tech. Persons Disabilities, 1996.
  16. [16] J. J. Tecce, J. Gips, C. P. Olivieri, L. J. Pok, and M. R. Consiglio, “Eye movement control of computer functions,” Int. J. Psychophysiol., Vol.29, No.3, pp. 319-325, 1998.
  17. [17] R. Barea, L. Boquete, M. Mazo, and E. Lopez, “System for Assisted Mobility Using Eye Movements Based on Electrooculography,” IEEE Trans. Rehab. Eng., Vol.10, No.4, pp. 209-217, 2002.
  18. [18] R. Barea, L. Boquete, M. Mazo, and E. Lopez, “Wheelchair Guidance Strategies Using EOG,” J. of Intelligent and Pobotic Systems, Vol.34, pp. 279-299, 2002.
  19. [19] J. J. Tecce, L. J. Pok, M. R. Consiglio, and J. L. O’Neil, “Attention impairment in electrooculography control of computer functions,” Int. J. Psychophysiol., Vol.55, No.2, pp. 159-163, 2005.
  20. [20] S. Kanoh, R. Futami, T. Yoshinobu and N. Hoshimiya, “Method of Menu Selection by Gaze Movement Using AC EOG Signals,” The Trans. of the Institute of Electrical Engineers of Japan, A publication of Electronics, Information and System Society, Vol.129-C, No.10, pp. 1822-1827, 2009.
  21. [21] Andreas Bulling et al., “Wearable EOG goggles: eye-based interaction in everyday environments,” Proc. of CHI2009, pp. 3259-3264.

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