The Study on Online SSVEP based BCI system using CCA method

Brain Computer Interface (BCI) is a new type of human-computer interaction technology, which can be used for space remote operation and auxiliary control of devices. In this work, online Steady State Visual Evoked Potential (SSVEP) based BCI system using Canonical Correlation Analysis (CCA) method is studied. The SSVEP stimulus paradigm with 10 stimuli is designed. The effect of different playing time and intercepting time on recognition accuracy rate and Information Transmission Rate (ITR) is analyzed. The average accuracy rate for the case of playing 3s and intercepting 2.5s is more than 90%. The average ITR is higher than 40 bit/min.