Existing driving fatigue detection methods rarely consider how to effectively fuse the
advantages of the electroencephalogram (EEG) and electrocardiogram (ECG) signals to …

Studies have shown that driver fatigue or unpleasant emotions significantly increase driving
risks. Detecting driver emotions and fatigue states and providing timely warnings can …

Background Monitoring of long-haul truck driver fatigue state has attracted considerable
interest. Conventional fatigue driving detection methods based on the physiological and …

Eye blink detection serves as a crucial biomarker for evaluating both physical and mental
states, garnering considerable attention in biometric and video-based studies. Among …

Fatigue is a significant cause of traffic accidents. Developing a method for determining driver
fatigue level by the state of the driver's eye is a problem that requires a solution, especially …

Effective methods for managing and preventing driver tiredness are necessary since it is a
significant factor in road accidents. In this research, it provides a new way to challenge this …

Fatigue analysis is a critical aspect of structural engineering and material design, focused on
understanding the progressive weakening of materials and structures subjected to repetitive …

Drowsy driving is one of the major problems of traffic safety, causing significant casualties
every year around the world. Detection and evaluation accurately is the key step to tackle …

Affective computing advocates for the development of systems and devices that can
recognize, interpret, process, and simulate human emotion. In computing, the field seeks to …

Currently automatic driving system has become the key intelligent function of vehicles to
reduce the control load of the drivers and improve safety. Due to the randomness and …