Review of driver fatigue/drowsiness detection methods.
- Author:
Lei WANG
1
;
Xiaojuan WU
;
Mengsun YU
Author Information
1. School of Information Science and Engineering, Shandong University, Ji'nan 250100, China.
- Publication Type:Journal Article
- MeSH:
Accidents, Traffic;
prevention & control;
Automobile Driving;
Electroencephalography;
methods;
Humans;
Mental Fatigue;
diagnosis;
physiopathology;
Models, Theoretical;
Sleep Stages;
Task Performance and Analysis
- From:
Journal of Biomedical Engineering
2007;24(1):245-248
- CountryChina
- Language:Chinese
-
Abstract:
Driver fatigue/drowsiness is one of the important causes of serious traffic accidents and results in so many people deaths or injuries, but also substantial directly and indirectly economic expenses. Therefore, many countries make great effort on how to detect drowsiness during driving. In this paper, we introduce the recent developments of driver fatigue/drowsiness detection technology of world wide and try to classify the existing methods into several kinds according to different features measured, and analyzed. Finally, the challenges faced to fatigue/drowsiness detection technology and the development trend are presented.
