Adaptive BCI based on variational Bayesian Kalman filtering: an empirical evaluation.

Adaptive BCI based on variational Bayesian Kalman filtering: an empirical evaluation.

This paper proposes the use of variational Kalman filtering as an inference technique for adaptive classification in a brain computer interface (BCI). The proposed algorithm translates electroencephalogram segments adaptively into probabilities of cognitive states. It, thus, allows for nonstationari...

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Bibliografiske detaljer
Main Authors:	Sykacek, P, Roberts, S, Stokes, M
Format:	Journal article
Sprog:	English
Udgivet:	2004

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