Using steady-state visually evoked potential in brain-computer interface (BCI) system is the subject of a lot of research. SSVEP signals are used as basis for brain-computer interface because of its reliability, high information transfer rate, minimal training and flexibility. Canonical correlation analysis is one of the new emerging method, which seems to have some processing improvement and advantages compared to traditional SSVEP de- tection method, like better signal to noise ratio (SNR), lower harmonic frequencies, i.e. a series of frequencies which has same fundamental frequen- cies.