Fatigue driving detection based on electrooculography: a review

Abstract To accurately identify fatigued driving, establishing a monitoring system is one of the important guarantees improving traffic safety and reducing accidents. Among many research methods, electrooculogram signal (EOG) has unique advantages. This paper presents systematic literature review these technologies summarizes basic framework fatigue driving based on EOGs. Then we summarize advantages disadvantages existing technologies. In addition, 80 primary references published during last decade were identified. The multi-feature fusion technique EOGs performs better than other traditional methods due to its low cost, power consumption intrusion, while application still limited which needs more efforts obtain good generalizable results. And then, an overview technology given, revealing premier unbiased survey empirical classification techniques that have been applied analysis. Finally, this adds value current by investigating EOG signals in design related systems, future guidelines provided practitioners researchers grasp major contributions challenges state-of-the-art research.