Driver hypovigilance, often caused by fatigue and/or drowsiness, receives increasing attention in the last years; especially after it became evident that hypovigilance is a one of the major factor causing traffic accidents. Monitoring and detecting driver hypovigilance could contribute significantly to improve road traffic safety. This paper proposes fast methods to identify drowsiness and fati...

Drowsiness when in command of a vehicle leads to decline cognitive performance that affects driver behavior, potentially causing accidents. Drowsiness-related road accidents lead severe trauma, economic consequences, impact on others, physical injury and/or even death. Real-time and accurate drowsiness detection warnings systems are necessary schemes reduce tiredness-related driving accident ra...

 Background: Methanol is a colorless and poisonous liquid that is commonly used as an industrial and household solvent. Methanol poisoning is a rare but extremely hazardous form of in toxication that affects the central nervous system and causes visual disorder, drowsiness, seizures and coma.  Case Presentation: A 29-years-old man with methanol intoxication presented with drowsiness and ac...

Drowsiness detection is a crucial step for safe driving. A plethora of efforts has been invested on using pervasive sensor data (e.g., video, physiology) empowered by machine learning to build an automatic drowsiness system. Nevertheless, most the existing methods are based complicated wearables electroencephalogram) or computer vision algorithms eye state analysis), which makes relevant system...

Driver drowsiness is a condition where the driver operating on automobile about to nod off or sleep which caused by various factors, can impair and hinder safe driving, including biological, physical, psychological, other factors. Accidents through are observed especially in case journeys long-distance, sleep-deprivation also plays role of prominent determining parameter. There extensive number...