This paper demonstrates design and fabrication o f a mechatronic system for human drowsiness detection. This system can be used in multiple places. For example, in factories, it is used on some dangerous machinery and in cars in order t o prevent the operator o r driver from falling asleep. This system is composed of three parts: (1) mechanical, (2) electrical and (3) image processing system. A...

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...

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 recent years, driver drowsiness has been one of the major causes of road accidents and can lead to severe physical injuries, deaths and significant economic losses. Statistics indicate the need of a reliable driver drowsiness detection system which could alert the driver before a mishap happens. Researchers have attempted to determine driver drowsiness using the following measures: (1) vehic...

Eye state recognition is one of the main stages of many image processing systems such as driver drowsiness detection system and closed-eye photo correction. Driver drowsiness is one of the main causes in the road accidents around the world. In these circumstances, a fast and accurate driver drowsiness detection system can prevent these accidents. In this article, we proposed a fast algorithm fo...

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...

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...

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 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...