Smart methodology for safe life on roads with active drivers based on real-time risk and behavioral monitoring

AA Minhas, S Jabbar, M Farhan… - Journal of Ambient …, 2023 - Springer
Video services are becoming more pervasive due to the swift development of next-
generation intelligent communications and network systems. With the growth of these types …

Using neural network for drowsiness detection based on EEG signals and optimization in the selection of its features using genetic algorithm

S Sarabi, M Asadnejad, S Rajabi - Innovaciencia, 2020 - revistas.udes.edu.co
One of the major causes of traffic accidents is driver's drowsiness. For this reason, detecting
whether the driver's eyes are open or closed is one of the critical factors in reducing road …

Range extended for electric vehicle based on driver behaviour

M Al-Doori, D Paluszczyszyn, D Elizondo, B Passow… - 2014 - IET
Driver behaviour has been considered one of the main factors that contribute to increase
fuel consumption, CO2 emissions, traffic accidents and causalities. Thus, the concept of …

[HTML][HTML] Real-time detection of human drowsiness via a portable brain-computer interface

J Shen, B Li, X Shi - Open Journal of Applied Sciences, 2017 - scirp.org
In this paper, we proposed a new concept: depth of drowsiness, which can more precisely
describe the drowsiness than existing binary description. A set of effective markers for …

[PDF][PDF] Image Compression Techniques–An Overview

S Vijayarani, M Nivetha - Image, 2016 - researchgate.net
Compression is one of the image processing technique, it reduces the size of the digital
image and allows more images to be stored in memory, easy file transfer, decrease costs for …

Análise da sonolência na conduçao rodoviária a partir de sinais EEG

LMF Dias - 2015 - search.proquest.com
Abstract A Sociedade Europeia de Pesquisa do Sono realizou muito recentemente um
estudo, onde mostrou que a prevalência média de adormecimento ao volante nos últimos 2 …