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EEG-based Online Brain-Computer Interface System

EEG-based Online Brain-Computer Interface System

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EEG-based Online Brain-Computer Interface System

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  1. EEG-based Online Brain-Computer Interface System Chi-Ying Chen,Chang-Yu Tsai,Ya-Chun Tang Advisor:Yong-Sheng Chen

  2. Outline • Introduction • Motivation • State of the Art • Background • Proposal • Schedule • Reference

  3. Motivation • People with degenerative diseases • Human-computer interface • Eye-tracking system • Voice-controlled interface • Brain-computer interface

  4. State of the art • BCI research • Challenges • Noise interference • Inter-/intra-subject variation • Asynchronous operation

  5. Background • BCI (Brain Computer Interface) • allow completely paralyzed people to communicate with the world by means of their brain wave BCI2000: A General-Purpose Brain-Computer Interface (BCI) System Gerwin Schalk*, Member, IEEE, Dennis J. McFarland, Thilo Hinterberger, Niels Birbaumer, and Jonathan R.Wolpaw

  6. Proposal

  7. Off-line training • Signal acquisition • Signal preprocessing • Feature extraction • Classifier training

  8. On-line testing • Asynchronous operation • Signal acquisition • Signal preprocessing • Feature extraction • Classification • Visual feedback • On-line training

  9. Schedule

  10. Reference • [1] E. A. Curran and M. J. Stokes, "Learning to control brain activity: a view of the production and control of EEG components for driving brain-computer interface (BCI) systems," Brain and Cognition, 51:326-336, 2003. • [2] G. Pfurtscheller, C. Neuper, D. Flotzinger, M. Pregenzer, "EEG-based discrimination between imagination of right and left hand movement," Electroencephalogr Clin Neurophysiol, 103(6):642-51, 1997. • [3]T. M. Vaughan, J. R. Wolpaw, and E. Donchin, "EEG-based communication: prospects and problems," IEEE Trans. Rehab. Eng., 4(4):425-430, 1996. • [4]H. Ramoser, J. Müller-Gerking, and G. Pfurtscheller, "Optimal spatial filtering of single trial EEG during imagined hand movement, " IEEE Trans. Rehab. Eng., 8(4):441-446, 2000. • [5] J. Kalcher, and G. Pfurtscheller, "Discrimination between phase-locked and non-phase-locked event-related EEG activity, " Electroenceph. clin. Neurophysiol. 94: 381-384, 1995 • [6]Y. Wang, Z. Zhang, Y. Li, X. Gao, S. Gao, Senior Member, IEEE, and F. Yang, "BCI competition 2003—data set IV: an algorithm based on CSSD and FDA for classifying single-trial EEG," IEEE Trans. on Biomedical Eng., 51(6), JUNE 2004 • [7]L. F. Chen, H. Y. M. Liao, M. T. Ko, J. C. Lin, and G. J. Yu, "A new LDA-based face recognition system which can solve the small sample size problem," Pattern Recognition, 33, 2000 • [8]J. Müller-Gerking, G. Pfurtscheller, and H. Flyvbjerg, "Designing optimal spatial filters for single-trial EEG classification in a movement task," Electroenceph. Clin. Neurophysiol., 110:787-798, 1999. • [9] J. R. Wolpaw, and D. J. McFarland, "Two-dimensional movement control by scalp-recorded sensorimotor rhythms in humans," Abstract Viewer/Itinerary Planner, Soc. Neuroscience Abstr., 2003.