Asynchronous, adaptive BCI using movement imagination training and rest-state inference

Proceedings of the IASTED International Conference on Artificial Intelligence and Applications, AIA 2008

Volumn , Issue , 2008, Pages 85-90

  Fazli, Siamac ^a   Danóczy, Márton ^a   Kawanabe, Motoaki ^a   Popescu, Florin ^a  

^a FRAUNHOFER FOKUS   (Germany)

Author keywords

Asynchronous design; Bayesian inference; Brain computer interface; Idle state; Machine learning

Indexed keywords

ASYNCHRONOUS DESIGN; BAYESIAN INFERENCE; BRAIN-COMPUTER INTERFACE; IDLE STATE; MACHINE LEARNING;

ARTIFICIAL INTELLIGENCE; BAYESIAN NETWORKS; CLASSIFIERS; INFERENCE ENGINES; MACHINE DESIGN; OPTICAL SENSORS; PROBABILITY DISTRIBUTIONS; ROBOT LEARNING;

INTERFACES (COMPUTER);

EID: 44449093082     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (14)

1. Benjamin Blankertz, Guido Dornhege, Matthias Krauledat, Klaus-Robert Müller, and Gabriel Curio. The non-invasive berlin brain-computer interface: Fast acquisition of effective performance in untrained subjects. Neuroimage, Mar 2007.
2. Matthias Krauledat, Michael Schröder, Benjamin Blankertz, and Klaus-Robert Müller. Reducing calibration time for brain-computer interfaces: A clustering approach. In B. Schölkopf, J. Platt, and T. Hoffman, editors, Advances in Neural Information Processing Systems 19, pages 753-760. MIT Press, Cambridge, MA, 2007.
3. Guido Dornhege, José del R. Millán, Thilo Hinterberger, Dennis McFarland" and Klaus-Robert Müller, editors. Towards Brain-Computer Interfacing. MIT Press, 2007.
4. Niels Birbaumer, Thilo Hinterberger, Andrea Kübler, and Nicola Neumann. The thought-translation device (ttd): neurobehavioral mechanisms and clinical outcome. IEEE Trans Neural Syst Rehabil Eng, 11(2):120-123, Jun 2003.
5. Jaimie F Borisoff, Steve G Mason, Ali Bashashati, and Gary E Birch. Brain-computer interface design for asynchronous control applications: improvements to the lfasd asynchronous brain switch. IEEE Trans Biomed Eng, 51(6):985-992, Jun 2004.
6. S. G. Mason and G. E. Birch. A brain-controlled switch for asynchronous control applications. IEEE Trans Biomed Eng, 47(10):1297-1307, Oct 2000.
7. José del R Millán and Josep Mouriño. Asynchronous BCI and local neural classifiers: an overview of the Adaptive Brain Interface project. IEEE Trans Neural Syst Rehabil Eng, 11(2):159-161, Jun 2003.
8. J. del R. Millán, F. Renkens, J. Mourińo, and W. Gerstner. Non-Invasive Brain-Actuated Control of a Mobile Robot by Human EEG. In 2006 IMIA Yearbook of Medical Informatics. Schattauer Verlag, 2006.
9. Pradeep Shenoy and Rajesh P. N. Rao. Dynamic bayesian networks for brain-computer interfaces. In Lawrence K. Saul, Yair Weiss, and Léon Bottou, editors, Advances in Neural Information Processing Systems 17, pages 1265-1272. MIT Press, Cambridge, MA, 2005.
10. Yu Zhou, Steven G. Mason, and Gary E. Birch. Impact of an energy normalization transform on the performance of the lf-asd brain computer interface. In Sebastian Thrun, Lawrence Saul, and Bernhard Schölkopf, editors, Advances in Neural Information Processing Systems 16. MIT Press, Cambridge, MA, 2004.
11. Benjamin Blankertz, Gabriel Curio, and Klaus-Robert Müller. Classifying Single Trial EEG: Towards Brain Computer Interfacing. In Advances in Neural Inf. Proc. Systems (NIPS 01). 2002.
12. Benjamin Blankertz, Klaus-Robert Müller, Dean J Krusienski, Gerwin Schalk, Jonathan R Wolpaw, Alois Schlögl, Gert Pfurtscheller, José del R Millán, Michael Schröder, and Niels Birbaumer. The BCI competition. III: Validating alternative approaches to actual BCI problems. IEEE Trans Neural Syst Rehabil Eng, 14(2):153-159, Jun 2006.
13. Yijun Wang, Zhiguang Zhang, Yong Li, Xiaorong Gao, Shangkai Gao, and Fusheng Yang. Bci competition 2003-data set iv: an algorithm based on cssd and fda for classifying single-trial eeg. IEEE Trans Biomed Eng, 51(6):1081-1086, Jun 2004.
14. G. Pfurtscheller, C. Brunner, A. Schlögl, and F. H. Lopes da Silva. Mu rhythm (de)synchronization and eeg singletrial classification of different motor imagery tasks. Neuroimage, 31(1):153-159, May 2006.