Abstract
It is postulated that performance of brain-computer interfaces (BCI) based on detection of steady-state visual evoked potentials (SSVEP) can be improved by proper configuration of the visual stimulator. Preliminary results of experiments are presented to confirm dependence of SSVEP characteristics on parameters of the stimulus.
Keywords
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Bin, G., Gao, X., Wang, Y., Hong, B., Gao, S.: Vep-based brain-computer interfaces: Time, frequency and code modulations. IEEE Computational Intelligence Magazine 4, 22–26 (2009)
Materka, A., Byczuk, M.: Alternate half-field stimulation technique for SSVEP-based brain-computer interfaces. IEEE Electronic Letters 42, 321–322 (2006)
Materka, A., Byczuk, M.: Using comb filter to enhance SSVEP for BCI application. In: Proceedings of 3rd International Conference on Advances in Medical, Signal and Information Processing, pp. 1–4 (2006)
Materka, A., Byczuk, M., Poryzala, P.: A Virtual keypad based on alternate half-field stimulated visual evoked potentials. In: Proceedings of the International Symposium on Information Technology Convergence, pp. 296–300 (2007)
Mukesh, S., Jaganathan, V., Reddy, M.: A Novel multiple frequency stimulation method for steady state vep based brain computer interfaces. Physiological Measurement 27, 61–71 (2006)
Regan, D.: Human brain electrophysiology—evoked potentials and evoked magnetic fields in science and medicine. Elsevier, New York (1989)
Wang, Y., Gao, X., Hong, B., Jia, C., Gao, S.: Brain-computer interfaces based on visual evoked potentials, feasibility of practical system design. IEEE Engineering in Medicine and Biology Magazine 27, 64–71 (2008)
Wang, Y., Zhang, Z., Gao, X., Gao, S.: Lead selection for ssvep-based brain-computer interface. In: Proceedings of 26th Annual International Conference of the IEEE In Engineering in Medicine and Biology Society, pp. 4507–4510 (2004)
Wolpaw, J., Birbaumer, N., Heetderks, W., McFarland, D., Peckham, P., Schalk, G., Donchin, E., Quatrano, L., Robinson, C., Vaughan, T.: Brain-computer interface technology: A review of the first international meeting. IEEE Transactions on Rehabilitation Engineering 8, 164–173 (2000)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2011 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Byczuk, M., Poryzała, P., Materka, A. (2011). On Possibility of Stimulus Parameter Selection for SSVEP-Based Brain-Computer Interface. In: Czachórski, T., Kozielski, S., Stańczyk, U. (eds) Man-Machine Interactions 2. Advances in Intelligent and Soft Computing, vol 103. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23169-8_7
Download citation
DOI: https://doi.org/10.1007/978-3-642-23169-8_7
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-23168-1
Online ISBN: 978-3-642-23169-8
eBook Packages: EngineeringEngineering (R0)