Fatigue Driving Detection Methods based on Human-computer Interaction

Drivers' fatigue driving detection is very important to traffic safety, and is closely related to the safety of human life and property. It is a key research topic for researchers. Effective fatigue identification technology can effectively reduce the traffic accidents caused by fatigue. This paper provides a systematic review of the detection methods for driver fatigue driving. The concept of driver fatigue and its necessity for detection are introduced, and the characteristics of fatigue driving behavior are described and classified. This paper summarizes several of the widely used public data sets for fatigue driving in detail, and analyzes the characteristics of each data set to compare its applicability and limitations, providing a valuable resource for subsequent research. Finally, the driver fatigue driving detection method based on facial features, physiological signal features, vehicle features and multiple features fusion is comprehensively analyzed. By comparing the advantages and disadvantages of various methods, this paper summarizes the problems and challenges faced by drivers in the field of fatigue driving detection, and prospects the future development direction.