EEG-based brain-computer interaction: Improved accuracy by automatic single-trial error detection

Advances in Neural Information Processing Systems 20 - Proceedings of the 2007 Conference

Volumn , Issue , 2008, Pages

  Ferrez, Pierre W ^a   Del R Millán, José ^a  

^a IDIAP RESEARCH INSTITUTE   (Switzerland)

Author keywords

[No Author keywords available]

Indexed keywords

ERRORS; FEEDBACK; HUMAN ROBOT INTERACTION; INTERFACES (COMPUTER); SPEECH RECOGNITION;

BODY CHANNELS; BRAIN COMPUTER INTERACTIONS; ERROR RELATED POTENTIALS; EXPERIMENT CONFIRM; HEALTHY VOLUNTEERS; HUMANS-ROBOT INTERACTIONS; MUSCULAR ACTIVITIES; PHYSIOLOGICAL SIGNALS; SIGNAL CHANNELS; SINGLE TRIAL;

BRAIN COMPUTER INTERFACE;

EID: 85161982914     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (14)

1. J.R. Wolpaw, N. Birbaumer, D.J. McFarland, G. Pfurtscheller, and T.M. Vaughan. Brain-computer interfaces for communication and control. Clinical Neurophysiology, 113:767-791, 2002. (Pubitemid 34621187)
2. J. del R. Millán, F. Renkens, J. Mouriño, andW. Gerstner. Non-invasive brain-actuated control of a mobile robot by human EEG. IEEE Transactions on Biomedical Engineering, 51:1026-1033, 2004. (Pubitemid 38661458)
3. G. Schalk, J.R. Wolpaw, D.J. McFarland, and G. Pfurtscheller. EEG-based communication: presence of and error potential. Clinical Neurophysiology, 111:2138-2144, 2000.
4. B. Blankertz, G. Dornhege, C. Schäfer, R. Krepki, J. Kohlmorgen, K.-R. Müller, V. Kunzmann, F. Losch, and G. Curio. Boosting bit rates and error detection for the classification of fast-paced motor commands based on single-trial EEG analysis. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 11(2):127-131, 2003. (Pubitemid 36935038)
5. 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, 11(2):173-177, 2003. (Pubitemid 36935051)
6. P.W. Ferrez and J. del R. Millán. You are wrong!-Automatic detection of interaction errors from brain waves. In Proc. 19th Int. Joint Conf. Artificial Intelligence, 2005.
7. R.D. Pascual-Marqui. Standardized low resolution brain electromagnetic tomography (sLORETA): Technical details. Methods & Findings in Experimental & Clinical Pharmacology, 24D:5-12, 2002. (Pubitemid 35462350)
8. C.B. Holroyd and M.G.H. Coles. The neural basis of human error processing: Reinforcement learning, dopamine and the error-related negativity. Psychological Review, 109:679-709, 2002.
9. K. Fiehler, M. Ullsperger, and Y. von Cramon. Neural correlates of error detection and error correction: Is there a common neuroanatomical substrate? European Journal of Neuroscience, 19:3081-3087, 2004. (Pubitemid 38822599)
10. P.W. Ferrez and J. del R. Millán. Error-related EEG potentials in brain-computer interfaces. In G. Dornhege, J. del R. Millán, T. Hinterberger, D. McFarland, and K.-R.Müller, editors, Toward Brain-Computing Interfacing, pages 291-301. The MIT Press, 2007.
11. D. McFarland and J.R. Wolpow. Sensorimotor rhythm-based brain-computer interface (BCI): Feature selection by regression improves performance. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 13(3):372-379, 2005. (Pubitemid 41416017)
12. G. Pfurtscheller and F.H. Lopes da Silva. Event-related EEG/MEG synchronization and desynchronization: Basic principles. Clinical Neurophysiology, 110:1842-1857, 1999. (Pubitemid 29454610)
13. S. Nieuwenhuis, K.R. Ridderinkhof, J. Blom, G.P.H. Band, and A. Kok. Error-related brain potentials are differently related to awareness of response errors: Evidence from an antisaccade task. Psychophysiology, 38:752-760, 2001. (Pubitemid 32848137)
14. F. Babiloni, C. Babiloni, L. Locche, F. Cincotti, P.M. Rossini, and F. Carducci. High-resolution electroencephalogram: Source estimates of laplacian-transformed somatosensory-evoked potentials using realistic subject head model constructed from magnetic resonance imaging. Medical & Biological Engineering and Computing, 38:512-519, 2000.