Toward Ubiquitous BCIs 383 physicists could manage – even today – is destroying the earth. Nightmare scenarios <strong>of</strong> BCIs gone awry would leave the world intact while rotting humanity. Fortunately, the nightmare scenario seen in some bci fi – a phlegmatic Orwellian dystopia <strong>of</strong> pale, unfulfilled, blindly dependent masses – can be proactively prevented. Many mechanisms for prevention stem from mechanisms already in place with other new technologies. BCI researchers are aware <strong>of</strong> ethical issues, discuss them openly, and are committed to helping people. We can have at least some confidence that parents, doctors, psychiatrists, and end users will generally behave ethically when choosing or recommending BCIs. People may revolutionize BCIs – many times – but BCIs will remain a minor part <strong>of</strong> humanity. Humanity may be changing technology, but that doesn’t necessarily make us less human. Acknowledgments This paper was supported in part by three grants: a Marie Curie European Transfer <strong>of</strong> Knowledge grant Brainrobot, MTKD-CT-2004-014211, within the 6th European Community Framework Program; the Information and Communication Technologies Coordination and Support action “FutureBNCI”, Project number ICT-2010-248320; and the Information and Communication Technologies Collaborative Project action “BrainAble”, Project number ICT- 2010-247447. Thanks to Sara Carro-Martinez and Drs. Alida Allison, Clemens Brunner, Gary Garcia, Gaye Lightbody, Paul McCullagh, Femke Nijboer, Kai Miller, Jaime Pineda, Gerwin Schalk, and Jonathan Wolpaw for comments on this manuscript or on some ideas herein. The sentence about “fardels bear” is paraphrased from Hamlet. References 1. B.Z. Allison, C. Brunner, S. Grissmann, and C. Neuper (2010). Toward a multidimensional “hybrid” BCI based on simultaneous SSVEP and ERD activity. Program No. 227.4. 2010 Neuroscience Meeting Planner. San Diego, CA: Society for Neuroscience, 2010. Online. Presentation accepted and scheduled for Nov 2010. 2. B.Z. Allison, D. Valbuena, T. Lueth, A. Teymourian, I. Volosyak, and A. Gräser, BCI demographics: How many (and what kinds <strong>of</strong>) people can use an SSVEP BCI? IEEE Trans Neural Syst Rehabil Eng, 18(2), 107–116, (2010). 3. B.Z. Allison, Human-computer interaction: Novel interaction methods and techniques, chapter The I <strong>of</strong> BCIs: next generation interfaces for brain – computer interface systems that adapt to individual users. Springer, New York, (2009). 4. B.Z. Allison, J.B. Boccanfuso, C. Agocs, L.A. McCampbell, D.S. Leland, C. Gosch, and M. Moore Jackson, Sustained use <strong>of</strong> an SSVEP BCI under adverse conditions. Cogn Neurosci Soc, 129, (2006). 5. B.Z. Allison, C. Brunner, V. Kaiser, G. Müller-Putz, C. Neuper, and G. Pfurtscheller. A hybrid brain-computer interface based on imagined movement and visual attention. J Neural Eng, 7(2), 26007, (2010). 6. B.Z. Allison, D.J. McFarland, G. Schalk, S.D. Zheng, M.M. Jackson, and J.R. Wolpaw, Towards an independent brain–computer interface using steady state visual evoked potentials. Clin Neurophysiol, 119, 399–408, (2008). 7. B.Z. Allison, and M.M. Moore (2004). Field validation <strong>of</strong> a P3 BCI under adverse conditions. Society for Neuroscience Conference. Program No. 263.9. San Diego, CA. 8. B.Z. Allison and C. Neuper, Could anyone use a BCI? In D.S. Tan and A. Nijholt, (Eds.), (B+H)CI: The human in brain–computer interfaces and the brain in human-computer interaction, volume in press. Springer, New York, (2010). 9. B.Z. Allison and J.A. Pineda, Effects <strong>of</strong> SOA and flash pattern manipulations on ERPs, performance, and preference: Implications for a BCI system. Int J Psychophysiol, 59, 127–140, (2006).
384 B.Z. Allison 10. B.Z. Allison, A. Vankov, and J.A. Pineda., EEGs and ERPs associated with real and imagined movement <strong>of</strong> single limbs and combinations <strong>of</strong> limbs and applications to brain computer interface (BCI) systems. Soc Neurosci Abs, 25, 1139, (1999). 11. B.Z. Allison, E.W. Wolpaw, and J.R. Wolpaw, Brain–computer interface systems: progress and prospects. Expert Rev Med Devices, 4, 463–474, (2007). 12. C. Brunner, B.Z. Allison, C. Altstätter, and C. Neuper (2010). A hybrid brain-computer interface based on motor imagery and steady-state visual evoked potentials. Program No. 227.3. 2010 Neuroscience Meeting Planner. San Diego, CA: Society for Neuroscience, 2010. Online. Presentation accepted and scheduled for Nov 2010. 13. N. Bigdely-Shamlo, A. Vankov, R.R. Ramirez, and S. Makeig, Brain activity-based image classification from rapid serial visual presentation. IEEE Trans Neural Syst Rehabil Eng, 16(5), 432–441, Oct (2008). 14. N. Birbaumer and L. G. Cohen, brain–computer interfaces: communication and restoration <strong>of</strong> movement in paralysis. J Physiol, 579, 621–636, (2007). 15. N. Birbaumer, N. Ghanayim, T. Hinterberger, I. Iversen, B. Kotchoubey, A. Kübler, J. Perelmouter, E. Taub, and H. Flor, A spelling device for the paralysed. Nature, 398, 297–298, (1999). 16. T. Blakely, K.J. Miller, S.P. Zanos, R.P.N. Rao, and J.G. Ojemann, Robust, long-term control <strong>of</strong> an electrocorticographic brain–computer interface with fixed parameters. Neurosurg Focus, 27(1), E13, Jul (2009). 17. C. Brunner, B.Z. Allison, D.J. Krusienski, V. Kaiser, G.R. Müller-Putz, C. Neuper, and G. Pfurtscheller Improved signal processing approaches for a hybrid brain-computer interface simulation. J Neurosci Method, 188(1),165–73. 18. A. Buttfield, P. W. Ferrez, and J. del R. Millán, Towards a robust BCI: Error potentials and online learning. IEEE Trans Neural Syst Rehabil Eng, 14, 164–168, 2006. 19. J.M. Carmena, M.A. Lebedev, R.E. Crist, J.E. O’Doherty, D.M. Santucci, D.F. Dimitrov, P.G. Patil, C.S. Henriquez, and M.A.L. Nicolelis, Learning to control a brain-machine interface for reaching and grasping by primates. PLoS Biol, 1, E42, (2003). 20. F. Cincotti, D. Mattia, F. Aloise, S. Bufalari, G. Schalk, G. Oriolo, A. Cherubini, M.G. Marciani, and F. Babiloni, Non-invasive brain–computer interface system: towards its application as assistive technology. Brain Res Bull, 75(6), 796–803, Apr (2008). 21. L. Citi, R. Poli, C. Cinel, and F. Sepulveda, P300-based BCI mouse with genetically-optimized analogue control. IEEE Trans Neural Syst Rehabil Eng, 16, 51–61, (2008). 22. J. J. Daly and J. R. Wolpaw, brain–computer interfaces in neurological rehabilitation. Lancet Neurol, 7, 1032–1043, (2008). 23. B.J. de Kruif, R. Schaefer, and P. Desain, Classification <strong>of</strong> imagined beats for use in a brain computer interface. Conf Proc IEEE Eng Med Biol Soc, 2007, 678–681, (2007). 24. B. H. Dobkin, brain–computer interface technology as a tool to augment plasticity and outcomes for neurological rehabilitation. J Physiol, 579, 637–642, (2007). 25. P. W. Ferrez and J. del R. Millán, Error-related EEG potentials generated during simulated brain–computer interaction. IEEE Trans Biomed Engi, 55, 923–929, 2008. 26. F. Galán, M. Nuttin, E. Lew, P. W. Ferrez, G. Vanacker, J. Philips, and J. del R. Millán, A brain-actuated wheelchair: asynchronous and non-invasive brain?computer interfaces for continuous control <strong>of</strong> robots. Clin Neurophysiol, 119, 2159–2169, 2008. 27. X. Gao, D. Xu, M. Cheng, and S. Gao, A BCI-based environmental controller for the motiondisabled. IEEE Trans Neural Syst Rehabil Eng, 11, 137–140, 2003. 28. T. Geng, J. Q. Gan, M. Dyson, C. S. Tsui, and F. Sepulveda, A novel design <strong>of</strong> 4-class BCI using two binary classifiers and parallel mental tasks. Comput Intell Neurosci, 2008, 437306, (2008). 29. A. D. Gerson, L. C. Parra, and P. Sajda, Cortically coupled computer vision for rapid image search. IEEE Trans Neural Syst Rehabil Eng, 14(2), 174–179, Jun (2006). 30. Vora, J.Y., Allison, B.Z., & Moore, M.M. (2004). A P3 brain computer interface for robot arm control. Society for Neuroscience Abstract, 30, Program No. 421.19.
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THE FRONTIERS COLLECTION
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Bernhard Graimann · Brendan Alliso
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Preface It’s an exciting time to
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Contents Brain-Computer Interfaces:
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Contributors Brendan Allison Instit
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Contributors xi Femke Nijboer Insti
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List of Abbreviations ADHD Attentio
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Brain-Computer Interfaces: A Gentle
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38 J.R. Wolpaw and C.B. Boulay pote
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40 J.R. Wolpaw and C.B. Boulay EEG-
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44 J.R. Wolpaw and C.B. Boulay 72.
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110 E.W. Sellers et al. 22. D.J Kru
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Detecting Mental States by Machine
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138 Y. Wang et al. which has been e
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140 Y. Wang et al. After many studi
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142 Y. Wang et al. Left Hand Right
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324 Y. Li et al. (ROC) analysis app
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