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» Classification of Brain-Computer Interface Data
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CHI
2009
ACM
15 years 10 months ago
Adaptive brain-computer interface
Passive brain-computer interfaces are designed to use brain activity as an additional input, allowing the adaptation of the interface in real time according to the user's men...
Audrey Girouard
CHI
2004
ACM
15 years 10 months ago
Using mental load for managing interruptions in physiologically attentive user interfaces
Today's user is surrounded by mobile appliances that continuously disrupt his activities through instant message, email and phone call notifications. In this paper, we presen...
Daniel Chen, Roel Vertegaal
ICA
2010
Springer
14 years 7 months ago
Riemannian Geometry Applied to BCI Classification
Abstract. In brain computer interface based on motor imagery, covariances matrices are widely used through spatial filters computation and other signal processing methods. Covarian...
Alexandre Barachant, Stéphane Bonnet, Marco...
ESANN
2004
14 years 11 months ago
HMM and IOHMM modeling of EEG rhythms for asynchronous BCI systems
We compare the use of two Markovian models, HMMs and IOHMMs, to discriminate between three mental tasks for brain computer interface systems using an asynchronous protocol. We show...
Silvia Chiappa, Nicolas Donckers, Samy Bengio, Fr&...
ICASSP
2011
IEEE
14 years 1 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