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...

Drowsiness is the intermediate state between wakefulness and sleep. It is characterized by impairments of performance, which can be very dangerous in many activities and can lead to catastrophic accidents in transportation or in industry. There is thus an obvious need for systems that are able to continuously, objectively, and automatically estimate the level of drowsiness of a person busy at a...

Driver Drowsiness is one of the leading causes of road accidents. It affects the mental vigilance of the driver and reduces his personal capacity to drive a vehicle in full safety. These factors increase the risk of human errors which could involve deaths and wounds, which highlights the need to develop a system that can alert drivers of their drowsy state prior to accidents. It is important fo...

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 ...

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...

Drowsiness of driver is one of the causes for accidents. Here is proposal for drowsiness detection and alert using mobile phones. In this system driver has to wear USB EEG headset which is connected to mobile device. EEG will capture live brain signals and send to mobile device. Mobile device has a application installed in it which classifies these live signals and capture sleep /drowsiness rel...

Drowsiness is thought as crucial risk factor which may result in severer traffic accidents. Recently driver’s psychosomatic state adaptive driving support safety function has been highlighted to further reduce the number of traffic accidents. Consequently, reduction effect of psychosomatic adaptive safety function should be clarified to foster its penetration into commercial market. This resear...