In recent years preventing accidents under drowsiness state has become a major focus for active safety driving. To reduce the accidents rate, it is needed to provide an efficient safety measure. Literature says that, the drowsiness condition of driver is best monitored by using an eye blink sensor (or) fabric electrode (or) ECG Sensor. But by monitoring the drowsiness condition alone, the accid...

An Eye estimation technique has been developed, using a non-intrusive machine vision based concepts. The system uses a small monochrome security camera that points directly towards the driver’s face and monitors the driver’s eyes in order to detect fatigue This paper describes how to find the eyes, and determine the status of the eyes are open or closed. An application of Viola Jones algorithm ...

This paper reviews the methodology of detecting drowsiness of a person from Electrocardiogram (ECG) signal. ECG is one of the most important physiological biosignal which can be used to study the cardiological behavior of a person. It has become utterly essential nowadays to predict the drowsiness of a person in a situation as important as driving. The Heart Rate Variability (HRV) derived from ...

What Might Be the Positive Spin-Offs Associated With Modafinil or Armodafinil Use in This Patient? Racemic modafinil and its R-isomer armodafinil are approved treatments for the excessive daytime drowsiness associated with narcolepsy, shift work, and obstructive sleep apnea1; therefore, either of these drugs could benefit Mr P. In schizophrenia, modafinil and armodafinil have been prescribed, s...

Statistics have shown that 20% of all road accidents are fatigue-related, and drowsy detection is a car safety algorithm that can alert a snoozing driver in hopes of preventing an accident. This paper proposes a deep architecture referred to as deep drowsiness detection (DDD) network for learning effective features and detecting drowsiness given a RGB input video of a driver. The DDD network co...

Number of accidents during driving is increasing day by day and drowsy driving has been implicated as a causal factor in many accidents. Goal of driver drowsiness detection systems is to reduce these accidents. It has been seen that most of the accidents occur due to driver’s fatigue and a small due to inattention factor, therefore this paper reviews driver’s fatigue monitoring techniques in de...

OBJECTIVES Knowledge of how different indicators of drowsiness affect crash risk might be useful to drivers. This study sought to estimate how drowsiness related factors, and factors that might counteract drowsiness, are related to the risk of a crash. METHODS Drivers on major highways in a rural Washington county were studied using a matched case-control design. Control (n=199) drivers were ...

A hybrid system for detecting driver drowsiness was examined by using piezofilm movement sensors integrated into the car seat, seat belt and steering wheel. Statistical associations between increase in the driver drowsiness and the non-invasive and conventional physiological indicators were investigated. Statistically significant associations were established for the analysed physiological indi...

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...

Drowsiness is defined as the "inclination to sleep" and is also commonly referred to as "sleepiness". It is a natural occurrence in the human body that can affect individuals in different ways. Driver impairment due to drowsiness is known to be a major contributing factor in many motor vehicle crashes. Hence, the need of a reliable driver drowsiness detection system which could alert drivers be...