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» Adaptive brain-computer interface
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AUIC
2001
IEEE
13 years 11 months ago
Adapting the Web Interface: An Adaptive Web Browser
The growing number of mobile computing devices with diverse characteristics creates a requirement for seamless (device independent) access to computing resources of distributed sy...
Karen Henricksen, Jadwiga Indulska
ICPR
2010
IEEE
14 years 17 hour ago
Spatially Regularized Common Spatial Patterns for EEG Classification
In this paper, we propose a new algorithm for BrainComputer Interface (BCI): the Spatially Regularized Common Spatial Patterns (SRCSP). SRCSP is an extension of the famous CSP alg...
Fabien Lotte, Cuntai Guan
EUSFLAT
2007
176views Fuzzy Logic» more  EUSFLAT 2007»
13 years 9 months ago
Modifying the Classic Peak Picking Technique Using a Fuzzy Multi Agent to Have an Accurate P300-based BCI
EEG-based brain computer interface (BCI) provides a new communication channel between the human brain and a computer. The classification of EEG data is an important task in EEG-ba...
Gholamreza Salimi Khorshidi, Ayyoub Jaafari, Ali M...
NIPS
2007
13 years 9 months ago
Second Order Bilinear Discriminant Analysis for single trial EEG analysis
Traditional analysis methods for single-trial classification of electroencephalography (EEG) focus on two types of paradigms: phase locked methods, in which the amplitude of the ...
Christoforos Christoforou, Paul Sajda, Lucas C. Pa...
ICASSP
2011
IEEE
12 years 11 months ago
Classification by weighting for spatio-frequency components of EEG signal during motor imagery
We propose a novel method for the classification of EEG signals during motor-imagery. For motor-imagery based brain computer interface (MI-BCI), a method called common spatial pa...
Hiroshi Higashi, Toshihisa Tanaka