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...

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...

The increasing popularity of wearable devices has raised the importance of human-centric services, such as healthcare, physical training, smart assistant, and its applications. In this paper, we focus on a hybrid drowsiness detection system to use wearable sensor devices for measuring drowsiness. We make following contributions: (1) an auto-configurable and adaptive middleware framework to mana...

This project is the extension of NATSRL FY 2008 and FY2009 projects, titled as “Real-time Nonintrusive Detection of Driver Drowsiness”, which aims to develop a real-time, nonintrusive driver drowsiness detection system to reduce drowsiness-caused accidents. In our previous research, nonintrusive sensors for driver’s heart beat measurement were developed and implemented on the vehicle steering w...

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...

In recent years, driver drowsiness and driver inattention are the major causes for road accidents leading to severe traumas such as physical injuries, deaths, and economic losses. This necessitates the need for a system that can alert the driver on time, whenever he is drowsy or inattentive. Previous research works report the detection of either drowsiness or inattention only. In this work, we ...