Directory UMM :Networking Manual:computer_network_books:
EEG-based Online BrainComputer Interface System
Chi-Ying Chen,Chang-Yu Tsai,Ya-Chun Tang
Advisor:Yong-Sheng Chen
1
Outline
• Introduction
– Motivation
– State of the Art
– Background
• Proposal
• Schedule
• Reference
2
Motivation
• People with degenerative diseases
• Human-computer interface
– Eye-tracking system
– Voice-controlled interface
– Brain-computer interface
3
State of the art
• BCI research
• Challenges
– Noise interference
– Inter-/intra-subject variation
– Asynchronous operation
4
Background
• BCI (Brain Computer Interface)
– allow completely paralyzed people to communicate
with the world by means of their brain wave
5
BCI2000: A General-Purpose Brain-Computer
Interface (BCI) System
Gerwin Schalk*, Member, IEEE, Dennis J. McFarland, Thilo Hinterberger, Niels Birbaumer, and Jonathan R.Wolpaw
Proposal
6
Off-line training
•
•
•
•
Signal acquisition
Signal preprocessing
Feature extraction
Classifier training
7
On-line testing
•
•
•
•
•
•
•
Asynchronous operation
Signal acquisition
Signal preprocessing
Feature extraction
Classification
Visual feedback
On-line training
8
Schedule
Mar Apr May Jun Jul
Paper studying &
Background
knowledge learning
▄ ▄ ▄ ▄ ▄
Familiar with related
tool &
Program design
▄ ▄ ▄ ▄
Implementation
Testing
&
tuning
Au Se
No De
Oct
Jun Feb
g p
v c
▄ ▄ ▄ ▄
▄ ▄ ▄ ▄ ▄
9
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):64251, 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.
[9] J. R. Wolpaw, and D. J. McFarland, "Two-dimensional movement control by scalp-recorded se
nsorimotor rhythms in humans," Abstract Viewer/Itinerary Planner, Soc. Neuroscience Abstr., 200
3.
10
Chi-Ying Chen,Chang-Yu Tsai,Ya-Chun Tang
Advisor:Yong-Sheng Chen
1
Outline
• Introduction
– Motivation
– State of the Art
– Background
• Proposal
• Schedule
• Reference
2
Motivation
• People with degenerative diseases
• Human-computer interface
– Eye-tracking system
– Voice-controlled interface
– Brain-computer interface
3
State of the art
• BCI research
• Challenges
– Noise interference
– Inter-/intra-subject variation
– Asynchronous operation
4
Background
• BCI (Brain Computer Interface)
– allow completely paralyzed people to communicate
with the world by means of their brain wave
5
BCI2000: A General-Purpose Brain-Computer
Interface (BCI) System
Gerwin Schalk*, Member, IEEE, Dennis J. McFarland, Thilo Hinterberger, Niels Birbaumer, and Jonathan R.Wolpaw
Proposal
6
Off-line training
•
•
•
•
Signal acquisition
Signal preprocessing
Feature extraction
Classifier training
7
On-line testing
•
•
•
•
•
•
•
Asynchronous operation
Signal acquisition
Signal preprocessing
Feature extraction
Classification
Visual feedback
On-line training
8
Schedule
Mar Apr May Jun Jul
Paper studying &
Background
knowledge learning
▄ ▄ ▄ ▄ ▄
Familiar with related
tool &
Program design
▄ ▄ ▄ ▄
Implementation
Testing
&
tuning
Au Se
No De
Oct
Jun Feb
g p
v c
▄ ▄ ▄ ▄
▄ ▄ ▄ ▄ ▄
9
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):64251, 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.
[9] J. R. Wolpaw, and D. J. McFarland, "Two-dimensional movement control by scalp-recorded se
nsorimotor rhythms in humans," Abstract Viewer/Itinerary Planner, Soc. Neuroscience Abstr., 200
3.
10