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» Adaptive brain-computer interface
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ICASSP
2007
IEEE
14 years 2 months ago
Feature Selection Based on Fisher Ratio and Mutual Information Analyses for Robust Brain Computer Interface
This paper proposes a novel feature selection method based on twostage analysis of Fisher Ratio and Mutual Information for robust Brain Computer Interface. This method decomposes ...
Tran Huy Dat, Cuntai Guan
AUSDM
2008
Springer
271views Data Mining» more  AUSDM 2008»
13 years 9 months ago
Classification of Brain-Computer Interface Data
In this paper we investigate the classification of mental tasks based on electroencephalographic (EEG) data for Brain Computer Interfaces (BCI) in two scenarios: off line and on-l...
Omar AlZoubi, Irena Koprinska, Rafael A. Calvo
NIPS
2008
13 years 9 months ago
Understanding Brain Connectivity Patterns during Motor Imagery for Brain-Computer Interfacing
EEG connectivity measures could provide a new type of feature space for inferring a subject's intention in Brain-Computer Interfaces (BCIs). However, very little is known on ...
Moritz Grosse-Wentrup
NIPS
2007
13 years 9 months ago
Invariant Common Spatial Patterns: Alleviating Nonstationarities in Brain-Computer Interfacing
Brain-Computer Interfaces can suffer from a large variance of the subject conditions within and across sessions. For example vigilance fluctuations in the individual, variable ta...
Benjamin Blankertz, Motoaki Kawanabe, Ryota Tomiok...
NIPS
2004
13 years 9 months ago
Methods Towards Invasive Human Brain Computer Interfaces
During the last ten years there has been growing interest in the development of Brain Computer Interfaces (BCIs). The field has mainly been driven by the needs of completely paral...
Thomas Navin Lal, Thilo Hinterberger, Guido Widman...