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EEG-based Online Brain-Computer Interface System

Chi-Ying Chen,Chang-Yu Tsai,Ya-Chun Tang

Advisor:Yong-Sheng Chen

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Outline

• Introduction– Motivation– State of the Art– Background

• Proposal

• Schedule

• Reference

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Motivation

• People with degenerative diseases

• Human-computer interface– Eye-tracking system– Voice-controlled interface– Brain-computer interface

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State of the art

• BCI research

• Challenges– Noise interference– Inter-/intra-subject variation– Asynchronous operation

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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-ComputerInterface (BCI) SystemGerwin Schalk*, Member, IEEE, Dennis J. McFarland, Thilo Hinterberger, Niels Birbaumer, and Jonathan R.Wolpaw

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Proposal

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Off-line training

• Signal acquisition

• Signal preprocessing

• Feature extraction

• Classifier training

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On-line testing

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

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Schedule

Mar Apr May Jun JulAug

Sep

OctNov

Dec

Jun Feb

Paper studying &Background

knowledge learning▄ ▄ ▄ ▄ ▄

Familiar with related tool &

Program design▄ ▄ ▄ ▄

Implementation ▄ ▄ ▄ ▄Testing

& tuning

▄ ▄ ▄ ▄ ▄

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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.