A unified probabilistic approach to improve spelling in an event-related potential-based brain-computer interface

IEEE Transactions on Biomedical Engineering

Volumn 60, Issue 10, 2013, Pages 2696-2705

  Kindermans, Pieter Jan ^a   Verschore, Hannes ^a   Schrauwen, Benjamin ^a  

^a GHENT UNIVERSITY   (Belgium)

Author keywords

Brain computer interface (BCI); Dynamic stopping; Event related potential; Language models; Machine learning; P300

Indexed keywords

EVENT RELATED POTENTIALS; LANGUAGE INFORMATIONS; LANGUAGE MODEL; MACHINE LEARNING APPROACHES; NATURAL DYNAMICS; P300; PROBABILISTIC APPROACHES; PROBABILISTIC MODELING;

COMPUTATIONAL LINGUISTICS; LEARNING SYSTEMS;

BRAIN COMPUTER INTERFACE;

ACCURACY; ARTICLE; BRAIN COMPUTER INTERFACE; CLASSIFIER; EVENT RELATED POTENTIAL; LANGUAGE; MACHINE LEARNING; SPELLING;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; BRAIN-COMPUTER INTERFACES; DATA INTERPRETATION, STATISTICAL; ELECTROENCEPHALOGRAPHY; EVOKED POTENTIALS, VISUAL; HUMANS; LANGUAGE; VISUAL CORTEX; WRITING;

EID: 84884548142     PISSN: 00189294     EISSN: 15582531     Source Type: Journal    
DOI: 10.1109/TBME.2013.2262524     Document Type: Article

References (31)

1. J. J. Vidal, "Toward direct brain-computer communication," Annu. Rev. Biophys. Bioeng., vol. 2, no. 1, pp. 157-180, 1973.
2. L. Farwell and E. Donchin, "Talking off the top of your head: Toward a mental prosthesis utilizing event-related brain potentials," Electroencephalogr. Clin. Neurophysiol., vol. 70, no. 6, pp. 510-523, 1988.
3. F. Nijboer, E. Sellers, J. Mellinger, M. Jordan, T. Matuz, A. Furdea, S. Halder, U. Mochty, D. Krusienski, T. Vaughan, J. Wolpaw, N. Birbaumer, andA.Kübler, "AP300-based brain-computer interface for people with amyotrophic lateral sclerosis," Clin. Neurophysiol., vol. 119, no. 8, pp. 1909-1916, 2008.
4. T. Vaughan, D. McFarland, G. Schalk, W. Sarnacki, D. Krusienski, E. Sellers, and J. Wolpaw, "The Wadsworth BCI research and development program: At home with BCI," IEEE Trans. Neural Syst. Rehabil. Eng., vol. 14, no. 2, pp. 229-233, Jun. 2006. (Pubitemid 44150249)
5. G. Townsend, B. LaPallo, C. Boulay, D. Krusienski, G. Frye, C. Hauser, N. Schwartz, T. Vaughan, J.Wolpaw, and E. Sellers, "A novel P300-based brain-computer interface stimulus presentation paradigm:Moving beyond rows and columns," Clin. Neurophysiol., vol. 121, no. 7, pp. 1109-1120, 2010.
6. T. Kaufmann, S. Schulz, C. Grünzinger, and A. Kübler, "Flashing characters with famous faces improves ERP-based brain-computer interface performance," J. Neural Eng., vol. 8, no. 5, p. 056016, 2011.
7. M. Tangermann, M. Schreuder, S. D?ahne, J. Höhne, S. Regler, A. Ramsey, M. Queck, J. Williamson, and R. Murray-Smith, "Optimized stimulation events for a visual ERP BCI," Int. J. Bioelectromagn., vol. 13, pp. 119- 120, 2011.
8. M. Schreuder, T. Rost, and M. Tangermann, "Listen, you are writing! speeding up online spelling with a dynamic auditory BCI," Front. Neurosci., vol. 5, 2011.
9. J. Höhne, M. Schreuder, B. Blankertz, and M. Tangermann, "A novel 9-class auditory ERP paradigm driving a predictive text entry system," Front. Neurosci., vol. 5, no. 99, 2011.
10. H. Cecotti and A. Gr?aser, "Convolutional neural networks for P300 detection with application to brain-computer interfaces," IEEE Trans. Pattern Anal. Mach. Intell., vol. 33, no. 3, pp. 433-445, Mar. 2010.
11. P.-J. Kindermans, D. Verstraeten, P. Buteneers, and B. Schrauwen, "How do you like your P300 speller: Adaptive, accurate and simple?," in Proc. 5th Int. Brain-Comput. Interface Conf., Proc., 2011, pp. 96-99.
12. A. Rakotomamonjy and V. Guigue, "BCI competition III: Dataset II - ensemble of SVMs for BCI P300 speller," IEEE Trans. Biomed. Eng., vol. 55, no. 3, pp. 1147-1154, Mar. 2008. (Pubitemid 351301245)
13. P.-J. Kindermans, H. Verschore, D. Verstraeten, and B. Schrauwen, "A P300 BCI for the masses: Prior information enables instant unsupervised spelling," in Proc. Neural Information Processing Systems 2012, pp. 719- 727.
14. P.-J. Kindermans, D. Verstraeten, and B. Schrauwen, "A Bayesian model for exploiting application constraints to enable unsupervised training of a P300-based BCI," PLoS ONE, vol. 7, no. 4, p. e33758, 04 2012.
15. W. Speier, C. Arnold, J. Lu, R. K. Taira, and N. Pouratian, "Natural language processing with dynamic classification improves P300 speller accuracy and bit rate," J. Neural Eng., vol. 9, no. 1, p. 016004, 2012.
16. A. Lenhardt, M. Kaper, and H. Ritter, "An adaptive P300-based online brain-computer interface," IEEE Trans. Neural Syst. Rehabil. Eng., vol. 16, no. 2, pp. 121-130, Apr. 2008. (Pubitemid 351519526)
17. T. Liu, L. Goldberg, S. Gao, and B. Hong, "An online brain-computer interface using non-flashing visual evoked potentials," J. Neural Eng., vol. 7, no. 3, p. 036003, 2010.
18. J. Jin, E. Sellers, Y. Zhang, I. Daly, X. Wang, and A. Cichocki, "Whether genericmodelworks for rapid ERP-based BCI calibration," in J. Neurosci. Methods, 2012.
19. H. Verschore, P. Kindermans, D. Verstraeten, and B. Schrauwen, "Dynamic stopping improves the speed and accuracy of a P300 speller," in Artificial Neural Networks and Machine Learning. Berlin/Heidelberg, Germany: Springer-Verlag, 2012, pp. 661-668.
20. B. Blankertz, S. Lemm, M. Treder, S. Haufe, and K.-R. Müller, "Singletrial analysis and classification of ERP components, a tutorial," NeuroImage, vol. 56, no. 2, pp. 814-825, 2011.
21. D. Ryan, G. Frye, G. Townsend, D. Berry, S. Mesa-G, N. Gates, and E. Sellers, "Predictive spelling with a p300-based brain-computer interface: Increasing the rate of communication," Int. J. Human-Comput. Interact., vol. 27, no. 1, pp. 69-84, 2010.
22. M. Schreuder, J. Höhne, M. Treder, B. Blankertz, and M. Tangermann, "Performance optimization of ERP-based BCIs using dynamic stopping," in Proc. IEEE Annu. Int. Conf. Eng.Med. Biol. Soc., 2011, pp. 4580-4583.
23. C. M. Bishop, Pattern Recognition and Machine Learning (Information Science and Statistics), 1st ed. New York, NY, USA: Springer-Verlag, 2007.
24. U. Hoffmann, J.-M. Vesin, T. Ebrahimi, and K. Diserens, "An efficient P300-based brain-computer interface for disabled subjects," J. Neurosci. Methods, vol. 167, no. 1, pp. 115-125, 2008. (Pubitemid 350180084)
25. R. Kneser and H. Ney, "Improved backing-off for m-gram language modeling," in Proc. IEEE Int. Conf. Acoust., Speech, Signal Process., 1995, vol. 1, pp. 181-184.
26. S. Bird, "NLTK: The natural language toolkit," in Proc. Interact. Present. Sessions Association for Computational Linguistics, 2006, pp. 69-72.
27. B. Blankertz, K.-R. Müller, G. Curio, T. Vaughan, G. Schalk, J. Wolpaw, A. Schlögl, C. Neuper, G. Pfurtscheller, T. Hinterberger,M. Schröder, and N. Birbaumer, "The BCI competition 2003: Progress and perspectives in detection and discrimination of EEG single trials," IEEE Trans. Biomed. Eng., vol. 51, no. 6, pp. 1044-1051, Jun. 2004. (Pubitemid 38661460)
28. B. Blankertz, K.-R. Müller, D. Krusienski, G. Schalk, J. Wolpaw, A. Schlögl, G. Pfurtscheller, J. Millan, M. Schroder, and N. Birbaumer, "The BCI competition III: validating alternative approaches to actual BCI problems," IEEE Trans. Neural Syst. Rehabil. Eng., vol. 14, no. 2, pp. 153- 159, Jun. 2006. (Pubitemid 44150230)
29. O. Yanez-Suarez, L. Bougrain, C. Saavedra, E. Bojorges, and G. Gentiletti, P300-speller public-domain database. Available: http://akimpech.izt. uam.mx/p300db
30. I. Sutskever, J. Martens, and G. Hinton, "Generating text with recurrent neural networks," in Proc. Int. Conf. Mach. Learn., 2011.
31. N. Schmidt, B. Blankertz, and M. Treder, "Online detection of errorrelated potentials boosts the performance of mental typewriters," BMC Neurosci., vol. 13, no. 1, p. 19, 2012.