Mining cap light based on EEG control

Abstract

A new type of lamp holder based on brain-computer interface control is proposed, which makes the application of new technology in underground mining intelligent, including eye potential and myoelectricity generated when you blink. The extraction of brain wave shapes with different frequencies can reflect the state of the human brain. The current brain wave frequency mainly studied is between 0-100 Hz. The concrete method is to extract the original brainwave data by Fourier transform and wavelet transform. A double-threshold blink detection algorithm is designed, which can effectively avoid pseudo-blink interference and extract the concentration. And the function verification is carried out. The specific implementation method is to use the TAGM module to collect and preprocess brainwaves and transmit them to the Arduino controller through the Bluetooth module to generate control instructions. The results show that the scheme is effective.