Frequency Recognition in SSVEP-based BCI using Multiset Canonical Correlation Analysis

26 Aug 2013Yu ZhangGuoxu ZhouJing JinXingyu WangAndrzej Cichocki

Canonical correlation analysis (CCA) has been one of the most popular methods for frequency recognition in steady-state visual evoked potential (SSVEP)-based brain-computer interfaces (BCIs). Despite its efficiency, a potential problem is that using pre-constructed sine-cosine waves as the required reference signals in the CCA method often does not result in the optimal recognition accuracy due to their lack of features from the real EEG data... (read more)

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