Problem Drowsiness is a major cause of fatal accidents, in particular in transportation. It is thus critical to develop real-time, automatic drowsiness monitoring systems designed to warn a vehicle operator (and/or an automatic driving system) to take timely safety actions. One of the least intrusive approaches for this is to use one or more cameras mounted in the vehicle, such as in the dashbo...

Driver drowsiness is a major, though elusive, cause of traffic crashes. As part of its IVHS/human factors program, NHTSA is supporting research to develop in-vehicle systems . to continuously monitor driver alertness and performance. Scientific support for the feasibility of this countermeasure concept is provided by research showing that: l Drowsy drivers typically do not “drop off’ instantane...

In this research, a questionnaire survey was conducted to measure nap, drowsiness and fatigue of drivers who work for long shifts, to discuss about the work environment and health conditions for taxi and bus drivers who work at night-time. The questionnaire sheet used for this research was organized into the following categories: tension/tiredness, drowsiness while driving, and the nap situatio...

Several factors often contribute to car accidents, most of them caused by human error, and the notable are drowsiness, fatigue, distracted driving, alcohol. Although self-driving cars best solution save lives avoid they expensive. The roads in many countries not prepared for movement this type car. Scare new technologies included modern cars, such as backup cameras sensors, contributed keeping ...

Due to the increasing growth in population, the occurrence of vehicle accidents has also seen an increase. A detailed analysis shows that, around half million accidents occur in a year, in India alone. Drowsiness and sleeping while driving are now identified as one of the reasons behind fatal crashes and highway accidents caused by drivers. Various drowsiness detection techniques researched are...

BACKGROUND We determined the levels of subjective and observer drowsiness and facial dynamics changes. METHODS This experimental study was done in the virtual reality laboratory of Khaje-Nasir Toosi University of Technology in 2015. Facial dynamics changes like changes in eyes, mouth and eyebrows were surveyed on twenty-five drivers in 2015byKSS (Karolinska Sleepiness Scale) and ORD (Observer...

Text: The involvement of drowsiness in a large number of accidents, whether in private or professional activities, makes its detection a major societal issue to improve public health and safety. Drowsiness is the intermediate state between wakefulness and sleep. It is characterized by impairments of performance, e.g. slow reaction time, loss of vigilance, and deficits in information processing;...

Text: The involvement of drowsiness in a large number of accidents, whether in private or professional activities, makes its detection a major societal issue to improve public health and safety. Drowsiness is the intermediate state between wakefulness and sleep. It is characterized by impairments of performance, e.g. slow reaction time, loss of vigilance, and deficits in information processing;...

Reducing the number of accidents that are caused by drowsiness or fatigue could be achieved by applying different strategies. This paper focuses on the on-line, real time detection of deteriorating driver state and driving behaviour, and on the question what should be done after this has been detected. It reports three studies performed in the TNO driving simulator. The first one leads to the c...

BACKGROUND Major injuries and death in accidents have roots in drowsiness. Sleepiness is a main result of insufficient sleep. It is vital to explore drowsiness and its level. There are various sorts of methods in the forms of subjective and objective approaches. The goal of this study was to detect the association of subjective and interpretive drowsiness with facial dynamic changes. METHODS ...