A Study of the Identification Method of Driving Fatigue Based on Physiological Signals

摘要

Driver fatigue is one of the main causes for traffic accidents. It is very important to identify fatigued driving to prevent traffic incidents objectively and accurately. Detecting drivers’ physiological signals is an important method of identifying fatigued driving. Moreover, special attention has been paid to physiological signals as methods for detecting fatigues driving, such as with ECG (electroencephalography) and EEG (electrocardiogram) tests. In this paper, ECG and EEG data were collected through experiments conducted through a driving simulator. The ECG trend was obtained based on statistical analysis. Moreover, we compared EEG signals under the awake and fatigued states by combining the video and the ECG trend. The EEG characteristics were then extracted, and the EEG threshold value is obtained. The effectiveness of these indices is evaluated in further experiments. The results could be used as the foundation for future studies on driver fatigue.