Abstract
The first commercial brain–computer interface environment has been developed so research centers could easily and quickly run BCI experiments to test algorithms and different strategies. A first BCI system was available on the market in 1999, and was continuously improved to the system available today, which is now used in more than 60 countries worldwide.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
G. Pfurtscheller, C. Neuper, D. Flotzinger, and M. Pregenzer, EEG-based discrimination between imagination of right and left hand movement. Electroenceph clin Neurophysiol, 103, 642–651, (1997).
C. Guger, H. Ramoser, and G. Pfurtscheller, Real-time EEG analysis with subject-specific spatial patterns for a brain computer interface (BCI). IEEE Trans Neural Syst Rehabil Eng, 8, 447–456, (2000).
E.C. Leuthardt, G. Schalk, J.R. Wolpaw, J.G. Ojemann, and D.W. Moran, A brain-computer interface using electrocorticographic signals in humans. J Neural Eng, 1, 63–71, (2004).
C. Guger, A. Schlögl, C. Neuper, D. Walterspacher, T. Strein, and G. Pfurtscheller, Rapid prototyping of an EEG-based brain-computer interface (BCI). IEEE Trans Rehab Engng, 9(1), 49–58, (2001).
G.R. Muller-Putz, R. Scherer, C. Brauneis, and G. Pfurtscheller, Steady-state visual evoked potential (SSVEP)-based communication: impact of harmonic frequency components. J Neural Eng, 2(4), 123–130, (2005).
N. Birbaumer, N. Ghanayim, T. Hinterberger, I. Iversen, B. Kotchoubey, A. Kubler, J. Perelmouter, E. Taub, and H. Flor, A spelling device for the paralysed. Nature, 398(6725), 297–298, (1999).
M. Thulasidas, G. Cuntai, and W. Jiankang, Robust classification of EEG signal for brain-computer interface. IEEE Trans Neural Syst Rehabil Eng, 14(1), 24–29, 2006.
G. Pfurtscheller, C. Neuper, C. Guger, B. Obermaier, M. Pregenzer, H. Ramoser, and A. Schlögl, Current trends in Graz brain-computer interface (BCI) research. IEEE Trans Rehab Engng, 8, 216–219, (2000).
C. Guger, Real-time data processing under Windows for an EEG-based brain-computer interface. Dissertation, University of Technology Graz, Austria, (1999).
N. Birbaumer, A. Kubler, N. Ghanayim, T. Hinterberger, J. Perelmouter, J. Kaiser, I. Iversen, B. Kotchoubey, N. Neumann, and H. Flor, The thought translation device (TTD) for completely paralyzed patients. IEEE Trans Rehabil Eng, 8(2), 190–193, 2000.
D.J. Krusienski, E.W. Sellers, F. Cabestaing, S. Bayoudh, D.J. McFarland, T.M. Vaughan, and J.R. Wolpaw, A comparison of classification techniques for the P300 Speller. J Neural Eng, 3(4), 299–305, (2006).
C. Guger, G. Edlinger, W. Harkam, I. Niedermayer, and G. Pfurtscheller, How many people are able to operate an EEG-based brain computer interface? IEEE Trans Rehab Engng, 11, 145–147, (2003).
H. Ramoser, J. Muller-Gerking, and G. Pfurtscheller, Optimal spatial filtering of single trial EEG during imagined hand movement. IEEE Trans Neural Syst Rehabil Eng, 8(4), 441–446, (2000).
D.J. McFarland, W.A. Sarnacki, and J.R. Wolpaw, Brain-computer interface (BCI) operation: optimizing information transfer rates. Biol Psychol, 63(3), 237–251, (2003).
G. Edlinger, and C. Guger: Laboratory PC and mobile pocket PC brain-computer interface architectures. Conf Proc IEEE Eng Med Biol Soc, 5, 5347–5350, (2005).
E.W. Sellers, D.J. Krusienski, D.J. McFarland, T.M. Vaughan, and J.R. Wolpaw, A P300 event-related potential brain-computer interface (BCI): the effects of matrix size and inter stimulus interval on performance. Biol Psychol, 73(3), 242–252, (2006).
G. Klem, H. Lüders, H. Jasper, and C. Elger, The ten-twenty electrode system of the International Federation. The International Federation of Clinical Neurophysiology. Cleveland Clinic Foundation, 52, 3–6, (1999).
B. Obermaier, C. Guger, C. Neuper, and G. Pfurtscheller, Hidden Markov Models for online classification of single trial EEG data. Pattern Recogn Lett, 22, 1299–1309, (2001).
C.Neuper, G. Pfurtscheller, C. Guger, B. Obermaier, M. Pregenzer, H. Ramoser, and A. Schlögl, Current trends in Graz brain-computer interface (BCI) research. IEEE Trans Rehab Engng, 8, 216–219, (2000).
C. Guan, M. Thulasida, and W. Jiankang, High performance P300 speller for brain-computer interface. IEEE Int Workshop Biomed. Circuits Syst, S3, 13–16, (2004).
M. Waldhauser, Offline and online processing of evoked potentials. Master thesis, FH Linz, (2006).
E.W. Sellers and E. Donchin, A P300-based brain-computer interface: initial tests by ALS patients. Clin Neurophysiol, . 117(3), 538–548, (2006).
C. Guger, C. Groenegress, C. Holzner, G. Edlinger, and M. Slater, Brain-computer interface for controlling virtual environments. 2nd international conference on applied human factors and ergonomics. . Las Vegas, NV, USA, (2008).
Acknowledgments
This work was supported by the EC projects Presenccia, SM4all, Brainable, Decoder, Better and Vere.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2009 Springer-Verlag Berlin Heidelberg
About this chapter
Cite this chapter
Guger, C., Edlinger, G. (2009). The First Commercial Brain–Computer Interface Environment. In: Graimann, B., Pfurtscheller, G., Allison, B. (eds) Brain-Computer Interfaces. The Frontiers Collection. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02091-9_16
Download citation
DOI: https://doi.org/10.1007/978-3-642-02091-9_16
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-02090-2
Online ISBN: 978-3-642-02091-9
eBook Packages: Physics and AstronomyPhysics and Astronomy (R0)