Considerable progress has been made in measuring drowsiness and understanding its effects upon human performance in the laboratory and in simulated and operational driving conditions. This work builds upon previous research and identifies an appropriate design for a drowsy driver detection interface. A participatory design process was used that included both design experts and drivers in separa...

We describe a computer vision system for tracking the eyes of a car driver in order to measure the eyelid separation. This measure is used as part of a larger system designed to detect when a car driver is becoming drowsy. The system runs unattended in a car on modest hardware, does not interfere with the driver's normal driving actions, and requires no co-operation from the driver.

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...

Driver drowsiness is a major cause of fatal accidents, injury, and property damage, and has become an area of substantial research attention in recent years. The present study proposes a method to detect drowsiness in drivers which integrates features of electrocardiography (ECG) and electroencephalography (EEG) to improve detection performance. The study measures differences between the alert ...

Objective: The aim of this work is to develop a new index to assess the alertness state of drivers based on the respiratory dynamics derived from an inductive band. Background: Detection of drowsiness while driving is a leading objective in advanced driver assistance systems. A biomedical variable like thoracic effort, which is related to autonomic nervous system, provides direct information of...

The aim of this study was to identify a useful measure to estimate an arousal level of drivers, to apply the result to develop ITS (Intelligent Transportation System) that can warn drivers of their low arousal state and to prevent driving under low arousal level from occurring and contribute to the reduction of traffic accidents. The EEG(electroencephalography) during a monotonous task was meas...

sleep deprivation is a condition of not having enough sleep it can be either chronic or acute. a chronic sleep-restricted state can cause fatigue. fatigue is a subjective state related to sleep deprivation, the more someone is deprived of sleep the more likely that person is to be fatigued. several studies indicated that drowsiness/fatigue can affect steering performance and speed control. rese...

The advance of computing technology has provided the means for building intelligent vehicle systems. Drowsy driver detection system is one of the potential applications of intelligent vehicle systems. Previous approaches to drowsiness detection primarily make pre-assumptions about the relevant behavior, focusing on blink rate, eye closure, and yawning. Here we employ machine learning to datamin...

The aim of this study was to explore the effectiveness of behavioral evaluation measures for predicting drivers’ subjective drowsiness. Behavioral measures included neck bending angle, back pressure, foot pressure, COP (center of pressure) movement on sitting surface and tracking error in driving simulator task. Drowsy states were predicted by means of the multinomial logistic regression model ...