Abstract: In order to solve the problem of insufficient information transmission and interaction between organisms and electromechanical devices in the integrated system of vital electricity, Emotiv EPOC and mechanical arm of eeg acquisition equipment were used to build a writing system based on brain-computer interface technology with faster information transmission rate The system modeling and simulation were conducted. In the system modeling, the frequency identification of steady-state visual evoked potential was carried out by a combination of bandpass filtering and Canonical Correlation Analysis algorithm, and the accuracy rate of the four classifications was as high as 91.6%. In the online experiment, Emotiv EPOC controlled the mechanical arm to write simple Chinese characters, which showed the purpose of system modeling and simulation was achieved.

Key words: electromechanical integration, brain-computer interface, steady-state visual evoked potential, Emotiv EPOC, mechanical arm, typical correlation analysis