This work presents the development of an ADAS (advanced driving assistance system) focused on driver drowsiness detection, whose objective is to alert drivers their drowsy state avoid road traffic accidents. In a environment, it necessary that fatigue detection performed in non-intrusive way, and not bothered with alarms when he or she drowsy. Our approach this open problem uses sequences image...

Drowsy driving is one of the major problems which has led to many road accidents. Electroencephalography (EEG) most reliable sources detect sleep on-set while as there direct involvement biological signals. The present work focuses on detecting driver’s alertness using deep neural network architecture, built ResNets and encoder-decoder based sequence models with attention decoder. skip connecti...

In order to give a warning to the drowsy driver, this paper proposes a new Fatigue Driving Detection Algorithm. AdaBoost algorithm is applied to fast detect and track human faces, and the algorithm is implemented in FPGA; differential template-based multi-algorithms are used to localize human eyes and recognize eye states; PERCLOS algorithm is adopted to analyze and determine whether a person i...

Unfit drivers are the cause of tens of thousands of incidents on the roadswhich lead to injuries anddeaths. Therefore, it is very important to take preventive measures against such incidents. One of the unfit driving conditions is driving while being drowsy. Using image processing techniques, drowsiness of the driver could be detected and hence such incidents could be prevented. In this work, i...

This paper is directed to the further understanding of the problems of fatigue and workload and their role in diminishing driving capability. We present a specific strategy designed to defend against the adverse effects of fatigue and workload extremes through the use of adaptive driver systems. To begin, the work presents a brief critique of Muscio's constraints on developing a test of fatigue...

In the present trend suggestsdriving and navigation support systems are getting importance because it is crucial in supporting drivers in several conditions in automobile industry. It is important for driving support systems to detect the status/activity of driver’s consciousness. Detecting onset of driver fatigue could prevent the accidents caused by drowsy driving. It is proposed to detect / ...

On-chip caches represent a sizable fraction of the total power consumption of microprocessors. Although large caches can significantly improve performance, they have the potential to increase power consumption. As feature sizes shrink, the dominant component of this power loss will be leakage. However, during a fixed period of time the activity in a cache is only centered on a small subset of t...

Electroencephalographic (EEG) correlates of driving performance were studied using an event-related lane-departure paradigm. High-density EEG data were analyzed using independent component analysis (ICA) and Fourier analysis. Across subjects and sessions, when reaction time to lane-departure events increased, several clusters of independent component activities in the occipital, posterior parie...

Recently, the driver’s attention while driving a vehicle has to be taken seriously in a modernized society. Although some studies of attention while driving are being conducted now, the character of human activity is complicated for estimating attention while driving a vehicle. In the present study, the driver’s attention was studied by driving performance and meandering of the vehicle. Two set...