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Formulating Divergence Framework For Multiclass Motor Imagery Eeg Brain Computer Interface
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Formulating Divergence Framework For Multiclass Motor Imagery Eeg Brain Computer Interface
The ubiquitous presence of non-stationarities in the EEG signals significantly perturb the feature distribution thus deteriorating the performance of Brain Computer Interface. In this work, a novel method is proposed based on Joint Approximate Diagonaliza
The ubiquitous presence of non-stationarities in the EEG signals significantly perturb the feature distribution thus deteriorating the performance of Brain Computer Interface. In this work, a novel method is proposed based on Joint Approximate Diagonaliza
