Design Of Intelligent Home Control System Based On Brain Computer Interface

EEG signals are the electrical signals formed by brain nerve cells in the physiological activities of the cerebral cortex.They reflect different cognitive activities of humans.The specific forms of these activities can be obtained through the extraction,processing,and analysis of EEG signals.Brain-computer interface can control external equipment without limbs and muscle movement,which is of great significance for its research.The system is mainly composed of brain machine interface module,control module,interface display module,local network transmission module,home equipment control circuit and other parts.The main content of this article is:1.A new type of smart home system was designed to introduce the emerging brain-computer interface technology into smart homes,which solved the problem of inconvenience for the elderly and the disabled,and greatly satisfied people’s demand for intelligent living environment.2.Collecting brain telecommunication through software design stimulus interface and designing digital filter and analog filter circuit to filter it;according to SSVEP generation mechanism and characteristics,finally select fast Fourier transform to perform feature extraction of EEG signal in frequency domain..In terms of hardware,Samsung’s S5P6818 is selected as the control core.This chip has the characteristics of multi-tasks,fast operation speed,low power consumption,etc.,and designs auxiliary circuits for each module of the smart home.In the software,the embedded development environment is built and LINUX is transplanted.The operating system completes ZigBee networking,transparent transmission and software programming of each device driver module.3.The system is tested for functionality and the feasibility of the system is verified through experiments.The system’s processing speed and control accuracy can meet the requirements.The stability and real-time performance have been correspondingly strengthened.