Human thought controlled electrical switching using fast Fourier transform

Abstract: A brain-computer interface (BCI) is a new communication medium between the human brain and a digital world. BCI is emerging technology which can be used at every corner. The ambitious goal of a BCI technology can be the restoration of movements, communication, and environmental control for physically challenged people. An Electroencephalogram (EEG) based brain-computer interface will be connected with a system in order to control home application. It offers an alternative to natural communication and control. It is an artificial system that bypasses the body normal communication pathways. Different brain states are the result of different patterns of neural interaction. These patterns lead to waves characterized by different amplitudes and frequencies. Every interaction between neurons creates a minuscule electrical discharge. This project deals with the signals from the brain, as the different brain states are the result of different patterns of neural interaction. The signal generated by brain will be received by the brain wave sensor and it will divide into packets and the packet data transmitted to the wireless medium. The wave measuring unit will receive the brain wave raw data and it will convert into digital signal using MATLAB GUI platform. The interrupt generated will be sent to the microcontroller to operate the modules. The system operates with condition of appliance is based on changing with user’s cognitive state.

Keywords: BCI (Brain Computer Interface), EEG (Electroencephalograph), FFT (Fast Fourier Transform).