Real-Time Driver's Fatigue Detection

In this book, the methods of driver's fatigue detection have been studied. Furthermore, we explain the process of designing an analysis method based on fuzzy logic theory using three types of factors to detect the driver's fatigue: Driver crucial factors, Environmental factors and Conditional factors. In the proposed method using tactile and environmental sensors, the system predicts driver's fatigue before s/he falls asleep and concentrates the driver attention by alarming. This system helps the driver to keep his/her alertness during driving. An advantage of the proposed fatigue detection method is that it does not interfere with the driver's habit in vehicle control and it resumes functioning only in critical moments.

Autorentext

Mehdi Davoudi: Electrical Engineer, Studied Ph.D. at Politecnico di Milano in Signal Processing and control. Mohsen Davoudi: Electrical Engineer, Studied Ph.D. at Politecnico di Milano in Control. Gabriele D'Antona: Electrical Engineer, Studied Ph.D. at Politecnico di Milano in Measurement.

Klappentext

In this book, the methods of driver's fatigue detection have been studied. Furthermore, we explain the process of designing an analysis method based on fuzzy logic theory using three types of factors to detect the driver's fatigue: Driver crucial factors, Environmental factors and Conditional factors. In the proposed method using tactile and environmental sensors, the system predicts driver's fatigue before s/he falls asleep and concentrates the driver attention by alarming. This system helps the driver to keep his/her alertness during driving. An advantage of the proposed fatigue detection method is that it does not interfere with the driver's habit in vehicle control and it resumes functioning only in critical moments.