A Deep Neural Network for Real-Time Driver Drowsiness Detection

IEICE Transactions on Information and Systems- Japan

doi 10.1587/transinf.2019edl8079

Full Text

Abstract

Available in

Date

Authors

Publisher

Institute of Electronics, Information and Communications Engineers (IEICE)

Related search

HybridFatigue: A Real-Time Driver Drowsiness Detection Using Hybrid Features and Transfer Learning

International Journal of Advanced Computer Science and Applications
Computer Science
2020English

Real-Time Monitoring of Driver Drowsiness on Mobile Platforms Using 3D Neural Networks

Neural Computing and Applications
Artificial IntelligenceSoftware
2019English

Drowsiness Detection of Cab Driver

International Journal for Research in Applied Science and Engineering Technology
2019English

Drowsiness Detection Methods for Driver's: A Review

International Journal of Computer Applications
2015English

Real-Time Pedestrian Detection With Deep Network Cascades

2015English

The Detection of Drowsiness Using a Driver Monitoring System

Traffic Injury Prevention
EnvironmentalSafety ResearchPublic HealthOccupational Health
2019English

Driver Drowsiness Detection System Using Machine Learning Algorithms

International Journal of Recent Technology and Engineering
EngineeringManagement of TechnologyInnovation
2020English

A Deep Neural Network for Unsupervised Anomaly Detection and Diagnosis in Multivariate Time Series Data

Proceedings of the AAAI Conference on Artificial Intelligence
2019English

A Deep Convolutional Neural Network Framework for Lung Cancer Detection

International Journal of Recent Technology and Engineering
EngineeringManagement of TechnologyInnovation
2019German

Amanote Research

Note-taking for researchers

Follow Amanote

© 2026 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy