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

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Presentation transcript:

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 MarAprMayJunJulAugSepOctNovDecJunFeb Paper studying & Background knowledge learning ▄▄▄▄▄ Familiar with related tool & Program design ▄▄▄▄ Implementation ▄▄▄▄ Testing & tuning ▄▄▄▄▄

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: , [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): , [3]T. M. Vaughan, J. R. Wolpaw, and E. Donchin, "EEG-based communication: prospects and problems," IEEE Trans. Rehab. Eng., 4(4): , [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): , [5] J. Kalcher, and G. Pfurtscheller, "Discrimination between phase-locked and non-phase-locked event-related EEG activity, " Electroenceph. clin. Neurophysiol. 94: , 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: , [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.