This study takes a starting point in what drivers do to avoid drowsiness while driving instead of starting with what researchers know is efficient (Take a short nap). It is concluded that research is missing when it comes to how efficient common behavior countermeasures are and that there is a mismatch between research and how people actually behave. A three stage approach which includes identi...

Drowsy driving is one of the leading causes traffic accidents all over world. Driving in a monotonous manner for an extended amount time without stopping tiredness and catastrophic accidents. Drowsiness has potential to ruin many people’s lives. As result, real-time system that simple create configure early accurate sleepiness detection required. In this study, vision-based called Driver Detect...

OBJECTIVE This study investigated the possibility of using interactive media to help drowsy drivers wake up, thereby enabling them to drive more safely. BACKGROUND Many studies have investigated the negative impacts of driver drowsiness and distraction in cars, separately. However, none has studied the potentially positive effects of slightly interactive media for rousing drowsy drivers to he...

Nowadays, the use of public transportation is reducing and people prefer to private transport because its low cost, comfortable ride, personal preferences. However, causes numerous real-world road accidents due conditions drivers’ state such as drowsiness, stress, tiredness, age during driving. In cases, driver fatigue detection mandatory avoid ensure a journey. To date, several complex systems...

Driver drowsiness detection technologies have the ability to avoid a catastrophic accident by warning the driver of his drowsiness. A number of methods have been proposed to detect drowsiness in the past few years. These methods are categorized into two major categories. One focuses on detecting physical changes during drowsiness by image processing techniques, such as percentage of eye-closure...

Driver drowsiness is one of the major causes of serious traffic accidents, which makes this an area of great socioeconomic concern. Continuous monitoring of drivers’ drowsiness thus is of great importance to reduce drowsiness-caused accidents. This proposed research developed a real-time, nonintrusive driver drowsiness detection system by building biosensors on the automobile steering wheel and...

background: deficiency of attention and concentration is one of great reasons of traffic incidents and it covers between 20 to 50 percent of events due to careless and mindedness. studies show that attention and concentration are considered as one of important cognitive components in safe driving. vibration is an important physical effect in all vehicles. till now has not been any organized stu...

Drowsiness detection has many implications including reducing roads traffic accidents importance. Using image processing techniques is amongst the new and reliable methods in sleepy face. The present pilot study was done to investigate sleepiness and providing images of drivers' face, employing virtual-reality driving simulator. In order to detecting level of sleepiness according to the signal,...

The driver sleepiness is common and one of the main causes road accidents. So, there a need for automatically detecting this human behaviour. In any case, if drivers feel drowsy, they still keep on driving vehicle, accidents occur. This study can be implemented using CNN training model initiating an alarm drowsiness condition detected. Many authors suggested process Drowsiness (Problem Statemen...

Recently, the upsurge in accidents is caused due to driver drowsiness arises lack of sleep, fatigue and other health factors. The leads mortality, loss properties serious conditions. Hence, it necessary prevent by drivers. At present, automated model effective for detection recognition. In this research paper, developed a MCNN (Multi-Scale Convolutional Neural Network) framework classification ...