A SSVEP intelligent home service system based on CCA

This paper designs and implements a Steady State Visually Evoked Potential (SSVEP) intelligent home service system based on Canonical Correlation Analysis (CCA), which realizes that electroencephalogram (EEG) controls home service. The system includes a stimulus module, a data acquisition module, a data analysis module and a controlled module. Experiments show that the correct accepting rate of instructions from ten users can reach up to 87%, the system has a high stability and practicality.