Classifying motor imagery in presence of speech

Proceedings of the International Joint Conference on Neural Networks

Volumn , Issue , 2010, Pages

  Gürkök, Hayrettin ^a   Poel, Mannes ^a   Zwiers, Job ^a  

^a UNIVERSITY OF TWENTE   (Netherlands)

Author keywords

[No Author keywords available]

Indexed keywords

BRAIN COMPUTER INTERFACE; ELECTROPHYSIOLOGY; IMAGE ANALYSIS; INTERFACES (COMPUTER); LEARNING SYSTEMS; PIPELINE PROCESSING SYSTEMS; SEPARATION; SPEECH;

BRAIN SIGNALS; BRAIN-COMPUTER INTERFACE APPLICATIONS; CLASSIFICATION METHODS; DYNAMIC ENVIRONMENTS; MACHINE-LEARNING; MOTOR IMAGERY; MULTIMODAL INTERACTION; PRESENCE-ABSENCE; SIGNAL PROCESSING TECHNIQUE; SIGNAL-PROCESSING;

ELECTROENCEPHALOGRAPHY;

EID: 79959409411     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IJCNN.2010.5595733     Document Type: Conference Paper

References (24)

1. A. Kübler and K.-R. Müller, An Introduction to Brain-Computer Interfacing, ser. Neural Information Processing. Cambridge, MA, USA: The MIT Press, 2007, pp. 1-25.
2. A. Nijholt, D. Tan, G. Pfurtscheller, C. Brunner, J. d. R. Millán, B. Allison, B. Graimann, F. Popescu, B. Blankertz, and K.-R. Müller, "Brain-computer interfacing for intelligent systems," IEEE Intelligent Systems, vol. 23, no. 3, pp. 72-79, 2008.
3. N. Bianchi-Berthouze, W. W. Kim, and D. Patel, "Does body movement engage you more in digital game play? And why?" in Proceedings of the 2nd International Conference on Affective Computing and Intelligent Interaction. Berlin/Heidelberg, Germany: Springer-Verlag, 2007, pp. 102-113.
4. M. Tangermann, M. Krauledat, K. Grzeska, M. Sagebaum, B. Blankertz, C. Vidaurre, and K.-R. Müller, "Playing Pinball with non-invasive BCI," in Advances in Neural Information Processing Systems 21. Cambridge, MA, USA: The MIT Press, 2008, pp. 1641-1648.
5. E. T. Solovey, A. Girouard, K. Chauncey, L. M. Hirshfield, A. Sassaroli, F. Zheng, S. Fantini, and R. J. Jacob, "Using fNIRS brain sensing in realistic HCI settings: Experiments and guidelines," in Proceedings of the 22nd Annual ACM Symposium on User Interface Software and Technology. New York, NY, USA: ACM, 2009, pp. 157-166.
6. F. Lotte, J. Fujisawa, H. Touyama, R. Ito, H. Michitaka, and A. Lécuyer, "Towards ambulatory brain-computer interfaces: A pilot study with P300 signals," in Proceedings of the 5th Advances in Computer Entertainment Technology Conference, 2009.
7. C. Muhl, H. Gürkök, D. Plass-Oude Bos, M. E. Thurlings, L. Scherffig, M. Duvinage, A. A. Elbakyan, S. Kang, M. Poel, and D. Heylen, "Bacteria Hunt: A multimodal, multiparadigm BCI game," in Proceedings of the 5th International Summer Workshop on Multimodal Interfaces, 2010.
8. C. Neuper, R. Scherer, M. Reiner, and G. Pfurtscheller, "Imagery of motor actions: Differential effects of kinesthetic and visual-motor mode of imagery in single-trial EEG," Cognitive Brain Research, vol. 25, no. 3, pp. 668-677, 2005.
9. G. Pfurtscheller, "Event-related synchronization (ERS): An electrophysiological correlate of cortical areas at rest," Electroencephalography and Clinical Neurophysiology, vol. 83, no. 1, pp. 62-69, 1992.
10. G. Pfurtscheller and C. Neuper, "Motor imagery activates primary sensorimotor area in humans," Neuroscience Letters, vol. 239, no. 2-3, pp. 65-68, 1997.
11. D. J. McFarland, D. J. Krusienski, and J. R. Wolpaw, "Brain-computer interface signal processing at the Wadsworth Center: Mu and sensorimotor beta rhythms," Progress in Brain Research, vol. 159, pp. 411-419, 2006.
12. G. Pfurtscheller and C. Neuper, "Motor imagery and direct brain-computer communication," Proceedings of the IEEE, vol. 89, no. 7, pp. 1123-1134, 2001.
13. J. M. Geusebroek, G. J. Burghouts, and A. W. M. Smeulders, "The Amsterdam Library of Object Images," International Journal of Computer Vision, vol. 61, no. 1, pp. 103-112, 2005.
14. H. Jasper, "Report of the committee on methods of clinical examination in electroencephalography," Electroencephalography and Clinical Neurophysiology, vol. 10, pp. 370-375, 1958.
15. A. Delorme and S. Makeig, "EEGLAB: an open source toolbox for analysis of single-trial EEG dynamics including independent component analysis," Journal of Neuroscience Methods, vol. 134, pp. 9-21, 2004.
16. D. J. McFarland, L. M. McCane, S. V. David, and J. R. Wolpaw, "Spatial filter selection for EEG-based communication," Electroencephalography and Clinical Neurophysiology, vol. 103, no. 3, pp. 386-394, 1997.
17. E. Alpaydin, Introduction to Machine Learning. Cambridge, MA, USA: The MIT Press, 2004.
18. B. Blankertz, R. Tomioka, S. Lemm, M. Kawanabe, and K.-R. Muller, "Optimizing spatial filters for robust EEG single-trial analysis," IEEE Signal Processing Magazine, vol. 25, no. 1, pp. 41-56, 2008.
19. Z. J. Koles, "The quantitative extraction and topographic mapping of the abnormal components in the clinical EEG," Electroencephalography and Clinical Neurophysiology, vol. 79, no. 6, pp. 440-447, 1991.
20. Z. J. Koles, L. J. C., and F.-H. P, "Spatial patterns in the background EEG underlying mental disease in man," Electroencephalography and Clinical Neurophysiology, vol. 91, no. 5, pp. 319-328, 1994.
21. K. Fukunaga, Introduction to statistical pattern recognition (2nd ed.). San Diego, CA, USA: Academic Press Professional, Inc., 1990.
22. J. H. Friedman, "Another approach to polychotomous classification," Department of Statistics, Stanford University, Tech. Rep., 1996.
23. S. Makeig, "Auditory event-related dynamics of the EEG spectrum and effects of exposure to tones," Electroencephalography and Clinical Neurophysiology, vol. 86, no. 4, pp. 283-293, 1993.
24. M. G. Coles, G. Gratton, and E. Donchin, "Detecting early communication: Using measures of movement-related potentials to illuminate human information processing," Biological Psychology, vol. 26, pp. 69-89, 1988.