Fusing Canonical Coefficients for Frequency Recognition in SSVEP-Based BCI

The canonical correlation analysis (CCA)-based frequency recognition method is one of the widely used methods in steady-state visual evoked potential (SSVEP)-based brain-computer interface (BCI), and several extended version were proposed in the past decade. However, these methods only adopt the max...

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Principais autores:	Tiejun Liu, Yangsong Zhang, Lu Wang, Jianfu Li, Peng Xu, Dezhong Yao
פורמט:	Artigo
שפה:	Inglês
יצא לאור:	IEEE 2019-01-01
סדרה:	IEEE Access
נושאים:	Steady-state visual evoked potential brain–computer interface canonical correlation analysis electroencephalogram
גישה מקוונת:	https://ieeexplore.ieee.org/document/8692441/
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