Fatigue driving detection system based on EEG Signal

Abstract

This paper introduces a fatigue driving detection system based on EEG. Firstly, the EEG and EMG signals were detected by TGAM chip, and then the data were analyzed. Also, the very system is responsible for judging whether the driver is in fatigue state according to attention and mediation, blink frequency and power spectral density. If the driver is recognized as tired, an alarm will be issued. With this system, the driver's fatigue state can be well detected and fairly warned, so that the driver can get recharged, restore his sober state and reduce the occurrence of traffic accidents.