Electrooculographic brain-computer interface system

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Published: Mar 28, 2011
DOI: https://doi.org/10.20535/2312-1807.2011.16.3.266312
Keywords:
communication systems braincomputer, electrooculography, frequency modulated signal

Main Article Content

YA.S. Korotenko
YU.I. Yakymenko
A.O. Popov
YE.S. Karplyuk
M.A. Tsyparsʹkyy

Abstract

Problems of brain-computer interface (BCI) systems construction are considered. The fundamentals of constructing BCI systems using the electrooculogram are presented. A method and software for determining eye rotation angle by a frequency-modulated electrooculographic signal processing are given

Article Details

How to Cite
Korotenko, Y. ., Yakymenko, Y. ., Popov, A. ., Karplyuk, Y. ., & Tsyparsʹkyy, . M. . (2011). Electrooculographic brain-computer interface system. Electronics and Communications, 16(3), 162–166. https://doi.org/10.20535/2312-1807.2011.16.3.266312
Issue
Vol. 16 No. 3 (2011)
Section
Biomedical devices and systems
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References

A. B. Usakli and S. Gurkan, “Design of a Novel Efficient Human–Computer Interface: An Electrooculagram Based Virtual Keyboard”, IEEE Transactions on Instrumentation and Measurement, vol. 59, no. 8, pp. 2099–2108, Aug. 2010. DOI:10.1109/TIM.2009.2030923

P. Inchingolo and M. Spanio, “On the Identification and Analysis of Saccadic Eye Movements-A Quantitative Study of the Processing Procedures”, IEEE Transactions on Biomedical Engineering, vol. BME-32, no. 9, pp. 683–695, Sep. 1985. DOI:10.1109/TBME.1985.325586

Removal of biopotentials from electrodes of medical devices, INFORMATION ANALOG BULLETIN DEVICES, No. 8, August 2008, 6

http://openeeg.sourceforge.net/ The opensource Electroencephalography project