Abstract
The following description illustrates the implementation of an EEG-based Brain Computer Interface (BCI) for control of robotic arm utilizing electroencephalography (EEG) rhythms. The signals are collected with a headset witch denoises and classifies sampling signals adopting Fast Fourier Transform (FFT) and Kalman filter. These signals are deciphered to signals that can be eventually understood by certain machine, and then transmitted to a single-chip system by employing Bluetooth Module. Signals received by end-user machine will be compiled into control commands by MCU system and these commands are used to control actions of a robotic arm. Keywords: electroencephalogram;EEG;brain computer interface;BCI;MCU;robotic arm
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