Abstract:A current popular feature extraction method of classifying cognitive states and task engagements from electroencephalographs (EEG) is common spatial patterns (CSP). However, the classical CSP only focuses on the correlation between the signals and ignores all characteristics of the signals in the time domain and the frequency domain. In this paper we propose Common cross-spectral patterns (CCSP) a novel EEG feature extraction method for combining spectral and spatial patterns based on cross-spectral density (C… Show more
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