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» Adaptive brain-computer interface
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ICASSP
2011
IEEE
12 years 11 months ago
Effect of the visual signal structure on Steady-State Visual Evoked Potentials detection
The detection of Steady-State Visual Evoked Potential (SSVEP) responses in the Electroencephalogram (EEG) is a current challenge in signal processing applied on Brain-Computer Int...
Hubert Cecotti, Bertrand Rivet
ICASSP
2011
IEEE
12 years 11 months ago
Stationary Common Spatial Patterns: Towards robust classification of non-stationary EEG signals
Brain-Computer Interfaces (BCIs) allow a user to control a computer application by brain activity as acquired, e.g., by EEG. A standard step in a BCI system is to project the EEG ...
Wojciech Wojcikiewicz, Carmen Vidaurre, Motoaki Ka...
IUI
2000
ACM
14 years 1 days ago
Adaptation in automated user-interface design
Design problems involve issues of stylistic preference and flexible standards of success; human designers often proceed by intuition and are unaware of following any strict rule-b...
Jacob Eisenstein, Angel R. Puerta
IUI
2009
ACM
14 years 4 months ago
Designing user interface adaptation rules with T: XML
The specification of model adaptation and generation rules is a topic of great interest for the user interface development community, since there are more and more approaches supp...
Víctor López-Jaquero, Francisco Mont...
CHI
2008
ACM
14 years 8 months ago
Rapid image analysis using neural signals
The problem of extracting information from large collections of imagery is a challenge with few good solutions. Computers typically cannot interpret imagery as effectively as huma...
Santosh Mathan, Deniz Erdogmus, Yonghong Huang, Mi...