About this Journal Submit a Manuscript Table of Contents
Advances in Human-Computer Interaction
Volume 2012 (2012), Article ID 578295, 13 pages
http://dx.doi.org/10.1155/2012/578295
Research Article

Objective and Subjective Evaluation of Online Error Correction during P300-Based Spelling

1Lyon Neuroscience Research Center (CRNL), INSERM, CNRS, Dycog team, 95 Boulevard Pinel, 69500 Bron, France
2Université Claude Bernard Lyon 1, 69000 Lyon, France
3CERMEP, 95 Boulevard Pinel, 69500 Bron, France

Received 6 July 2012; Revised 15 October 2012; Accepted 24 October 2012

Academic Editor: Surjo R. Soekadar

Copyright © 2012 Perrin Margaux et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. B. H. Dobkin, “Brain-computer interface technology as a tool to augment plasticity and outcomes for neurological rehabilitation,” Journal of Physiology, vol. 579, part 3, pp. 637–642, 2007. View at Publisher · View at Google Scholar · View at Scopus
  2. J. D. Millan, R. Rupp, G. R. Muller-Putz et al., et al., “Combining brain-computer interfaces and assistive technologies: state-of-the-art and challenges,” Frontiers in Neuroscience, vol. 4, article 161, 2010.
  3. T. O. Zander, C. Kothe, S. Welke, and M. Roetting, “Utilizing secondary input from passive brain-computer interfaces for enhancing human-machine interaction,” in Foundations of Augmented Cognition Neuroergonomics and Operational Neuroscience, pp. 759–771, San Diego, Calif, USA, 2009.
  4. J. W. Gehring, B. Goss, M. G. Coles, D. E. Meyer, and E. Donchin, “A neural system for error detection and compensation,” Psychological Science, vol. 4, pp. 385–390, 1993.
  5. M. Falkenstein, J. Hohnsbein, and J. Hoormann, “Event-related potential correlates of errors in reaction tasks,” Electroencephalography and Clinical Neurophysiology, vol. 44, pp. 287–296, 1995. View at Scopus
  6. J. Hohnsbein, M. Falkenstein, and J. Hoormann :, “Error processing in visual and auditory choice reaction tasks,” Journal of Psychophysiology, vol. 3,, p. 32, 1989.
  7. M. Falkenstein, J. Hohnsbein, J. Hoormann, and L. Blanke, “Effects of errors in choice reaction tasks on the ERP under focused and divided attention,” in Psychophysiological Brain Research, C. H. M. Brunia, A. W. K. Gaillard, and A. Kok, Eds., pp. 192–195, Tilburg, The Netherlands, 1990.
  8. W. H. R. Miltner, C. H. Braun, and M. G. H. Coles, “Event-related brain potentials following incorrect feedback in a time-estimation task: evidence for a “generic” neural system for error detection,” Journal of Cognitive Neuroscience, vol. 9, no. 6, pp. 788–798, 1997. View at Scopus
  9. S. Nieuwenhuis, C. B. Holroyd, N. Mol, and M. G. H. Coles, “Reinforcement-related brain potentials from medial frontal cortex: origins and functional significance,” Neuroscience and Biobehavioral Reviews, vol. 28, no. 4, pp. 441–448, 2004. View at Publisher · View at Google Scholar · View at Scopus
  10. L. C. Parra, C. D. Spence, A. D. Gerson, and P. Sajda, “Response error correction—a demonstration of improved human-machine performance using real-time EEG monitoring,” IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 11, no. 2, pp. 173–177, 2003. View at Publisher · View at Google Scholar · View at Scopus
  11. G. Schalk, J. R. Wolpaw, D. J. McFarland, and G. Pfurtscheller, “EEG-based communication: presence of an error potential,” Clinical Neurophysiology, vol. 111, no. 12, pp. 2138–2144, 2000. View at Publisher · View at Google Scholar · View at Scopus
  12. P. W. Ferrez and J. J. Del, “Error-related EEG potentials generated during simulated brain-computer interaction,” IEEE Transactions on Biomedical Engineering, vol. 55, no. 3, pp. 923–929, 2008. View at Publisher · View at Google Scholar · View at Scopus
  13. B. Dal Seno, M. Matteucci, and L. Mainardi, “Online detection of P300 and error potentials in a BCI speller,” Computational Intelligence and Neuroscience, vol. 2010, Article ID 307254, 5 pages, 2010. View at Publisher · View at Google Scholar · View at Scopus
  14. M. Spuler, M. Bensch, S. Kleih, W. Rosenstiel, M. Bogdan, and A. Kubler, “Online use of error-related potentials in healthy users and people with severe motor impairment increases performance of a P300-BCI,” Clinical Neurophysiology, vol. 123, no. 7, pp. 1328–1337, 2012.
  15. G. Visconti, B. Dal Seno, M. Matteucci, and L. Mainardi :, “Automatic recognition of error potentials in a P300-based brain-computer interface,” in Proceedings of the 4th International Bran-Computer Interface Conference, 2008.
  16. M. Perrin, E. Maby, R. Bouet, O. Bertrand, and J. Mattout, “Detecting and interpreting responses to feedback in BCI,” in Proceedings of the 5th International Brain-Computer Interface Workshop & Training Course, pp. 116–119, Graz, Austria, 2011.
  17. L. A. Farwell and E. Donchin, “Talking off the top of your head: toward a mental prosthesis utilizing event-related brain potentials,” Electroencephalography and Clinical Neurophysiology, vol. 70, no. 6, pp. 510–523, 1988. View at Scopus
  18. M. Fabiani, D. Karis, and E. Donchin, “P300 and recall in an incidental memory paradigm,” Psychophysiology, vol. 23, no. 3, pp. 298–308, 1986. View at Scopus
  19. N. K. Squires, K. C. Squires, and S. A. Hillyard, “Two varieties of long latency positive waves evoked by unpredictable auditory stimuli in man,” Electroencephalography and Clinical Neurophysiology, vol. 38, no. 4, pp. 387–401, 1975. View at Publisher · View at Google Scholar · View at Scopus
  20. E. Donchin, K. M. Spencer, and R. Wijesinghe, “The mental prosthesis: assessing the speed of a P300-based brain- computer interface,” IEEE Transactions on Rehabilitation Engineering, vol. 8, no. 2, pp. 174–179, 2000. View at Publisher · View at Google Scholar · View at Scopus
  21. Y. Renard, F. Lotte, G. Gibert et al., “OpenViBE: an open-source software platform to design, test, and use brain-computer interfaces in real and virtual environments,” Presence, vol. 19, no. 1, pp. 35–53, 2010. View at Publisher · View at Google Scholar · View at Scopus
  22. E. Maby, G. Gibert, P. E. Aguera, M. Perrin, O. Bertrand, and J. Mattout :, “The OpenViBE P300-speller scenario: a thorough online evaluation,” in Proceedings of the Human Brain Mapping Conference, 2010.
  23. G. Townsend, B. K. LaPallo, C. B. Boulay et al., “A novel P300-based brain-computer interface stimulus presentation paradigm: moving beyond rows and columns,” Clinical Neurophysiology, vol. 121, no. 7, pp. 1109–1120, 2010. View at Publisher · View at Google Scholar · View at Scopus
  24. H. Cecotti and B. Rivet :, “One step beyond rows and columns flashes in the P300 speller: a theoretical description,” International Journal of Bioelectromagnetism, vol. 13, no. 1, pp. 39–41, 2011.
  25. H. Cecotti, B. Rivet, M. Congedo et al., “A robust sensor-selection method for P300 brain-computer interfaces,” Journal of Neural Engineering, vol. 8, no. 1, Article ID 016001, 2011. View at Publisher · View at Google Scholar · View at Scopus
  26. P. Brunner, S. Joshi, S. Briskin, J. R. Wolpaw, H. Bischof, and G. Schalk, “Does the 'P300' speller depend on eye gaze?” Journal of Neural Engineering, vol. 7, no. 5, Article ID 56013, 2010. View at Publisher · View at Google Scholar · View at Scopus
  27. M. S. Treder and B. Blankertz, “(C)overt attention and visual speller design in an ERP-based brain-computer interface,” Behavioral and Brain Functions, vol. 6, article 28, 2010. View at Publisher · View at Google Scholar · View at Scopus
  28. E. Lopez-Larraz, I. Iturrate, L. Montesano, and J. Minguez, “Real-time recognition of feedback error-related potentials during a time-estimation task,” in Proceedings of the 32nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC '10), pp. 2670–2673, 2010. View at Publisher · View at Google Scholar · View at Scopus
  29. J. R. Wolpaw, N. Birbaumer, W. J. Heetderks et al., “Brain-computer interface technology: a review of the first international meeting,” IEEE Transactions on Rehabilitation Engineering, vol. 8, no. 2, pp. 164–173, 2000. View at Scopus
  30. C. E. Shannon and W. Weaver, The Mathematical Theory of Communication: Presence of an Error Potential, University of Illinois Press, Chicago, Ill, USA, 1949.
  31. R. Naatanen and T. Picton, “The N1 wave of the human electric and magnetic response to sound: a review and an analysis of the component structure,” Psychophysiology, vol. 24, no. 4, pp. 375–425, 1987. View at Scopus
  32. B. Rivet, A. Souloumiac, V. Attina, and G. Gibert, “xDAWN algorithm to enhance evoked potentials: application to brain-computer interface,” IEEE Transactions on Bio-Medical Engineering, vol. 56, no. 8, pp. 2035–2043, 2009. View at Scopus
  33. N. Yeung, C. B. Holroyd, and J. D. Cohen, “ERP correlates of feedback and reward processing in the presence and absence of response choice,” Cerebral Cortex, vol. 15, no. 5, pp. 535–544, 2005. View at Publisher · View at Google Scholar · View at Scopus
  34. R. B. Mars, E. R. A. De Bruijn, W. Hulstijn, W. Miltner, and M. Coles, “What if I told you: “You were wrong”? brain potentials and behavioral adjustments elicited by performance feedback in a time-estimation task,” in Errors, Conflicts, and the Brain Current Opinions on Performance Monitoring, MPI of Cognitive Neuroscience, pp. 129–134, Leipzig, Germany, 2004.
  35. A. Rachez, T. Proix, E. Maby, J. Mattout, and E. Daucé, “Direct policygradient for online learning in BCI,” International Journal of Bioelectromagnetism, vol. 13, no. 1, pp. 52–53, 2011.
  36. T. M. Vaughan, D. J. McFarland, G. Schalk et al., “The wadsworth BCI research and development program: at home with BCI,” IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 14, no. 2, pp. 229–233, 2006. View at Publisher · View at Google Scholar · View at Scopus
  37. A. Datta, R. Cusack, K. Hawkins et al., “The P300 as a marker of waning attention and error propensity,” Computational Intelligence and Neuroscience, vol. 2007, Article ID 93968, 9 pages, 2007. View at Publisher · View at Google Scholar · View at Scopus
  38. T. W. Picton, “The P300 wave of the human event-related potential,” Journal of Clinical Neurophysiology, vol. 9, no. 4, pp. 456–479, 1992. View at Scopus
  39. S. C. Kleih, F. Nijboer, S. Halder, and A. Kübler, “Motivation modulates the P300 amplitude during brain-computer interface use,” Clinical Neurophysiology, vol. 121, no. 7, pp. 1023–1031, 2010. View at Publisher · View at Google Scholar · View at Scopus
  40. E. Maby, M. Perrin, O. Bertrand, G. Sanchez, and J. Mattout, “BCI could make old two-player games even more fun: a proof of concept with, ‘Connect Four’,” Advances in Human-Computer Interaction. In press.