Abstract
The central aim of this study is to develop an adaptive real-time eye-gaze tracking (EGT) system that serves as an assistive tool for persons with motor challenges access computers with optimal practicality. The novelty of the proposed method is that it adapts to the different and changing jitter characteristics of each specific user, through the configuration and training of an artificial neural network (ANN). A profile, generated for each user by the ANN through a one-time short training session, comes to reinforce the stability of mouse-cursor movements. The user profile, which can be fine-tuned with additional training, and the methods for training are embedded in the proposed system. The results using 9 subjects show an average jitter reduction of 36% in test 1 which is to follow a moving target, and 53% for following the contour of a square, which resulted in eye-gaze displacements that are significantly smoother.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Hong, P., Huang, T.: Natural Mouse: A novel human computer interface. In: IEEE International Conference on Image Processing, Kobe, Japan, October 24-28 (1999)
Hutchinson, T.E., White Jr., K.P., Reichert, K.C., Frey, L.A.: Human-computer interaction using eye gaze input. IEEE Transactions on Systems, Man, and Cybernetics 19, 1527–1533 (1989)
Adjouadi, M., Sesin, A., Ayala, M., Cabrerizo, M.: Remote Eye Gaze Tracking System as a Computer Interface for Persons with Severe Motor Disability. In: Miesenberger, K., Klaus, J., Zagler, W., Burger, D. (eds.) ICCHP 2004. LNCS, vol. 3118, pp. 761–769. Springer, Heidelberg (2004)
Baluja, S., Pomerleau, D.: Non-intrusive gaze tracking using artificial neural networks. Advances in Neural Information Processing Systems (NIPS) 6 (1994)
Piratla, N.M., Jayasumana, A.P.: A neural network based real-time gaze tracker. Journal of Network and Computer Applications 25(3), 179–196 (2002)
ISCAN INC., Raw eye movement data acquisition software, instruction manual
Chin, C.A., Barreto, A., Cremades, J.G., Adjouadi, M.: Integrated electromyogram and eye-gaze tracking cursor control system for computer users with motor disabilities. Journal of Rehabilitation Research and Development 45(1), 161–174 (2008)
Hertz, J., Krogh, A., Palmer, R.G.: Introduction to the theory of neural computation. Addison-Wesley, Reading (1991)
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 2008 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Sesin, A., Adjouadi, M., Cabrerizo, M., Ayala, M., Barreto, A. (2008). An Eye Gaze Tracking System Using Customized User Profiles to Help Persons with Motor Challenges Access Computers. In: Miesenberger, K., Klaus, J., Zagler, W., Karshmer, A. (eds) Computers Helping People with Special Needs. ICCHP 2008. Lecture Notes in Computer Science, vol 5105. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-70540-6_175
Download citation
DOI: https://doi.org/10.1007/978-3-540-70540-6_175
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-70539-0
Online ISBN: 978-3-540-70540-6
eBook Packages: Computer ScienceComputer Science (R0)