Eye detection is a complex issue applied in several applications, such as human gaze estimation, Human-Robot interaction and driver’s aid framework for automatic drowsiness detection. This paper presents an algorithm that detects the human eye in still gray-scale images. The proposed scheme is based on learning statistical appearance model, which implies; the extraction of features and their cl...

The algorithm based physiological characteristics of driver drowsiness – ocular parameters (derived from the frontal electroencephalogram (EEG)), EEG alpha bursts and spectral power (derived from the central and occipital sites) as well as heart rate variability (HRV) were estimated from data derived during a driving simulator experiment (30 non-professional drivers). The statistical associatio...

Driver impairment due to fatigue induced drowsiness is a significant cause of vehicle collisions. One countermeasure that is currently being implemented is Fatigue Warning Systems (FWS) to alert drivers that are drowsy. Behavioural adaptation of drivers to a FWS was evaluated in a closed track study. Thirty-two drivers completed two lengthy overnight drives, separated by one week, with half the...

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...

One of the major reasons for road accidents now a days is due to driver fatigue. Be it long distant travelling or drunk driving drowsy state leads to risky crashes which is hazardous to lives as well. To overcome such accidents some method has to be developed that is feasible to all vehicle drivers . This paper is a survey based on various methods for preventing road accidents and designs on dr...

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...