Fusing highly dimensional energy and connectivity features to identify affective states from EEG signals
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DOI: 10.1016/j.neucom.2017.03.027
Abstract: In this paper, a novel method for affect detection is presented. The method combines both connectivity-based and channel-based features with a selection method that considerably reduces the dimensionality of the data and allows for an… read more here.
Keywords: highly dimensional; dimensional energy; fusing highly; energy ... See more keywords