Abstract
In recent years there has been an increased interest in Human-Computer Interaction Systems allowing for more natural communication with machines. Such systems are especially important for elderly and disabled persons. The paper presents a vision-based system for detection of long voluntary eye blinks and interpretation of blink patterns for communication between man and machine. The blink-controlled applications developed for this system have been described, i.e. the spelling program and the eye-controlled web browser.
Access provided by Autonomous University of Puebla. Download to read the full chapter text
Chapter PDF
Similar content being viewed by others
Keywords
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
References
ten Kate, J.H., van der Meer, P.M.: An electro-ocular switch for communication of the speechless. Med. Prog. Technol. 10(3), 135–141 (1983)
Stern, J.A., Walrath, L.C., Goldstein, R.: The endogenous eye-blink. Psychophysiology 21(1), 22–33 (1984)
Hirokawa, K., Yamada, F., Dohi, I., Miyata, Y.: Effect of gender-types on interpersonal stress measured by blink rate and questionnaires: focusing on stereotypically sex-typed and androgynous types. Social Behavior and Personality (2001), http://findarticles.com/p/artic-les/mi_qa3852/is_200101/ai_n8941780 (accessed February 26, 2009)
Thoumies, P., Charlier, J.R., Alecki, M., d’Erceville, D., Heurtin, A., Mathe, J.F., Nadeau, G., Wiart, L.: Clinical and functional evaluation of a gaze controlled system for the severely handicapped. Spinal Cord 36(2), 104–109 (1998)
Grauman, K., Betke, M., Gips, J., Bradski, G.R.: Communication via eye blinks – detection and duration analysis in real time. In: IEEE Computer Society Conference on Computer Vision and Pattern Recognition, vol. 1, pp. 1010–1017 (2001)
Heishman, R., Duric, Z., Wechsler, H.: Understanding cognitive and affective states using eyelid movements. In: IEEE Conference on Biometrics: Theory, Applications, and Systems, Washington, DC, pp. 1–6 (2007)
Akan, B., Argunsah, A.O.: A human-computer interface (HCI) based on electrooculogram (EOG) for handicapped. In: Proc. IEEE Conference on Signal Processing and Communications Applications, Antalya, Turkey, pp. 1–3 (2007)
Borghetti, D., Bruni, A., Fabbrini, M., Murri, L., Sartucci, F.: Low-cost interface for control of computer functions by means of eye movements. Computers in Biology and Medicine 37(12), 1765–1770 (2007)
Kong, X., Wilson, G.F.: A new EOG-based eye-blink detection algorithm. Behavior Research Methods, Instruments & Computers 30(4), 713–719 (1998)
Colella, T.A.: Drowsy driver detection system (2000), http://www.jhuapl.edu/ott/technologies/featuredtech/DDDS (accessed February 27, 2009)
Horng, W.B., Chen, C.Y., Chang, Y., Fan, C.H.: Driver fatigue detection based on eye tracking and dynamic template matching. In: Proc. IEEE Conference on Networking, Sensing and Control, Taiwan, pp. 7–12 (2004)
Brandt, T., Stemmer, R., Mertsching, B., Rakotonirainy, A.: Affordable visual driver monitoring system for fatigue and monotony. In: Proc. IEEE Conference on Systems, Man and Cybernetics, Hague, the Netherlands, vol. 7, pp. 6451–6456 (2004)
Królak, A., Strumiłło, P.: Wizyjny system monitorowania mrugania powiekami w zastosowaniach interfejsów człowiek-komputer. In: Proc 15th Conference Biocybernetyka i inżynieria biomedyczna, Wocław, Poland, p. 165 (2007) (in Polish)
Bradski, G., Keahler, A., Pisarevsky, V.: Learning-based computer vision with Intel’s open source computer vision library. Intel. Technology Journal 9(2), 119–130 (2005)
Kass, M., Witkin, A., Terzopoulos, D.: Snakes: active contour models. International Journal of Computer Vision, 321–331 (1988)
Otsu, N.: A threshold selection method from gray-level histograms. IEEE Transactions on Systems, Man and Cybernetics 9(1), 62–66 (1979)
Lal, S.K., Craig, A.: A Critical Review of the Psychophysiology of Driver Fatigue. Biological Psychology 55(3), 173–194 (2001)
Królak, A., Strumiłło, P.: Fatigue Monitoring by Means of Eye Blink Analysis in Image Sequences. In: Proc. Conference on Signals and Electronic Systems, Łódź, Poland, pp. 219–222 (2006)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2009 Springer-Verlag Berlin Heidelberg
About this chapter
Cite this chapter
Królak, A., Strumiłło, P. (2009). Eye-Blink Controlled Human-Computer Interface for the Disabled. In: Hippe, Z.S., Kulikowski, J.L. (eds) Human-Computer Systems Interaction. Advances in Intelligent and Soft Computing, vol 60. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-03202-8_10
Download citation
DOI: https://doi.org/10.1007/978-3-642-03202-8_10
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-03201-1
Online ISBN: 978-3-642-03202-8
eBook Packages: EngineeringEngineering (R0)