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» Classification of Brain-Computer Interface Data
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WSCG
2004
188views more  WSCG 2004»
14 years 11 months ago
Recognition of Motor Imagery Electroencephalography Using Independent Component Analysis and Machine Classifiers
Motor imagery electroencephalography (EEG), which embodies cortical potentials during mental simulation of left or right finger lifting tasks, can be used as neural input signals ...
Chih-I. Hung, Po-Lei Lee, Yu-Te Wu, Hui-Yun Chen, ...
ICASSP
2011
IEEE
14 years 1 months ago
SVM feature selection for multidimensional EEG data
In many machine learning applications, like Brain - Computer Interfaces (BCI), only high-dimensional noisy data are available rendering the discrimination task non-trivial. In thi...
Nisrine Jrad, Ronald Phlypo, Marco Congedo
AUSAI
2007
Springer
15 years 1 months ago
Elements of a Learning Interface for Genre Qualified Search
Even prior to content, the genre of a web document leads to a first coarse binary classification of the recall space in relevant and non-relevant documents. Thinking of a genre se...
Andrea Stubbe, Christoph Ringlstetter, Randy Goebe...
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NIPS
2008
14 years 11 months ago
Effects of Stimulus Type and of Error-Correcting Code Design on BCI Speller Performance
From an information-theoretic perspective, a noisy transmission system such as a visual Brain-Computer Interface (BCI) speller could benefit from the use of errorcorrecting codes....
N. Jeremy Hill, Jason Farquhar, Suzanna Martens, F...
ICPR
2004
IEEE
15 years 10 months ago
Hand Gesture Recognition: Self-Organising Maps as a Graphical User Interface for the Partitioning of Large Training Data Sets
Gesture recognition is a difficult task in computer vision due to the numerous degrees of freedom of a human hand. Fortunately, human gesture covers only a small part of the theor...
Axel Saalbach, Gunther Heidemann, Holger Bekel, In...