EEG-based Online
Brain-Computer Interface System
Chi-Ying Chen,Chang-Yu Tsai,Ya-Chun Tang
2
Outline
•
Introduction
– Motivation
– State of the Art
– Background
•
Proposal
•
Schedule
Motivation
•
People with degenerative diseases
•
Human-computer interface
– Eye-tracking system
4
State of the art
•
BCI research
•
Challenges
– Noise interference
Background
•
BCI (Brain Computer Interface)
Off-line training
•
Signal acquisition
•
Signal preprocessing
•
Feature extraction
8
On-line testing
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Asynchronous operation
•
Signal acquisition
•
Signal preprocessing
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Feature extraction
•
Classification
Schedule
Mar Apr May Jun Jul Au
g
Se
p
Oct No
v
De
c
Jun Feb
Paper studying &
Background
knowledge learning
▄ ▄ ▄ ▄ ▄
Familiar with related
tool &
Program design
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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 Cognit ion, 51:326-336, 2003.
• [2] G. Pfurtscheller, C. Neuper, D. Flotzinger, M. Pregenzer, "EEG-based discrimination between i magination 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 pro blems," IEEE Trans. Rehab. Eng., 4(4):425-430, 1996.
• [4]H. Ramoser, J. Müller-Gerking, and G. Pfurtscheller, "Optimal spatial filtering of single trial EE G 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 singl e-trial EEG classification in a movement task," Electroenceph. Clin. Neurophysiol., 110:787-798, 1999.
