A subject transfer framework for EEG classification

Neurocomputing, pp. 109-116, 2012.

Cited by: 81|Views7
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Abstract:

This paper proposes a subject transfer framework for EEG classification. It aims to improve the classification performance when the training set of the target subject (namely user) is small owing to the need to reduce the calibration session. Our framework pursues improvement not only at the feature extraction stage, but also at the class...More

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