Asynchronous BCI control of a robot simulator with supervised online training
IDEAL'07 Proceedings of the 8th international conference on Intelligent data engineering and automated learning
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This paper implements Biomimetic Pattern Recognition (BPR) into the adaptive classification of motor imagery EEG data by introducing three adaptive operators. The adaptive BPR works well when facing the problems of non-stationary in on-line BCI. We have conducted some experiments in adaptive scheme and the results demonstrate that our new algorithm is efficiency and robust compared with non-adaptive classifiers.