Fusion of forehead EEG with machine vision for real-time fatigue detection in an automatic processing pipeline

J Min, M Cai, C Gou, C Xiong, X Yao - Neural Computing and Applications, 2023 - Springer
Driving fatigue is a leading contributor to traffic accidents and fatalities. For automatic
detection of fatigue, multimodal data fusion is a potential key technique, especially the …

EEG_DMNet: A Deep Multi-Scale Convolutional Neural Network for Electroencephalography-Based Driver Drowsiness Detection

HB Obaidan, M Hussain, R AlMajed - Electronics, 2024 - mdpi.com
Drowsy driving is one of the major causes of traffic accidents, injuries, and deaths on roads
worldwide. One of the best physiological signals that are useful in detecting a driver's …

基于电生理的机器学习在驾驶疲劳识别中的应用

向洪义, 朱细燕, 廖志康, 赵辉 - 环境与职业医学, 2022 - jeom.org
道路交通事故(RTA) 导致大量人员伤亡和财产损失, 驾驶疲劳是导致RTA 的重要因素之一.
电生理信号作为神经系统调节身体机能的一种信息反馈, 能够反映出驾驶员的疲劳状态 …

Advanced Detection of Driver Drowsiness Using CNN-LSTM Robust Approach

P Jain, B Sharma, A Singh… - 2024 14th International …, 2024 - ieeexplore.ieee.org
Drowsy driving is one of the major leaders of road accidents and poses a serious safety
concern for self as well as others on the road. Driver fatigue inhibits the ability of drivers to …

Automatic Driver Alertness Detection using Machine Learning

H Sidaq, F Bukhari, W Iqbal - 2021 International Conference on …, 2021 - ieeexplore.ieee.org
Nowadays driver drowsiness is a major cause of road accidents. Drowsiness is the condition
in which the driver is in between the sleepy and wake-up state. Besides all these causes of …

[PDF][PDF] REAL TIME DRIVER SLEEP DETECTION DEVICE (RTDSDD)

P Deepika, G ECE - gietujournal.in
Driver fatigue is a significant contributor to road accidents, posing a serious threat to both
drivers and passengers. This paper introduces an innovative Real time driver sleep …