[HTML][HTML] A systemic review of available low-cost EEG headsets used for drowsiness detection
J LaRocco, MD Le, DG Paeng - Frontiers in neuroinformatics, 2020 - frontiersin.org
Drowsiness is a leading cause of traffic and industrial accidents, costing lives and
productivity. Electroencephalography (EEG) signals can reflect awareness and …
productivity. Electroencephalography (EEG) signals can reflect awareness and …
Driver drowsiness measurement technologies: Current research, market solutions, and challenges
M Doudou, A Bouabdallah… - International Journal of …, 2020 - Springer
Significant advances in embedded technologies hold promise to characterize and monitor
driver's state of alertness and detect critical levels of driver drowsiness in real-time. While …
driver's state of alertness and detect critical levels of driver drowsiness in real-time. While …
Real-time driver drowsiness detection for embedded system using model compression of deep neural networks
Driver's status is crucial because one of the main reasons for motor vehicular accidents is
related to driver's inattention or drowsiness. A drowsiness detector on a car can reduce …
related to driver's inattention or drowsiness. A drowsiness detector on a car can reduce …
Real-time driver drowsiness detection for android application using deep neural networks techniques
Road crashes and related forms of accidents are a common cause of injury and death
among the human population. According to 2015 data from the World Health Organization …
among the human population. According to 2015 data from the World Health Organization …
A hybrid approach to detect driver drowsiness utilizing physiological signals to improve system performance and wearability
Driver drowsiness is a major cause of fatal accidents, injury, and property damage, and has
become an area of substantial research attention in recent years. The present study …
become an area of substantial research attention in recent years. The present study …
Deep learning based drowsiness detection and monitoring using behavioural approach
P William, M Shamim, AR Yeruva… - 2022 2nd …, 2022 - ieeexplore.ieee.org
Using deep learning and a behavioural approach, this study presents a real-time detection
and monitoring system for tired drivers. The objective is to develop and build software that …
and monitoring system for tired drivers. The objective is to develop and build software that …
[PDF][PDF] Deep CNN: A Machine Learning Approach for Driver Drowsiness Detection Based on Eye State.
Accepted: 28 November 2019 Driver drowsiness is one of the reasons for large number of
road accidents these days. With the advancement in Computer Vision technologies …
road accidents these days. With the advancement in Computer Vision technologies …
Non-invasive driver drowsiness detection system
Drowsiness when in command of a vehicle leads to a decline in cognitive performance that
affects driver behavior, potentially causing accidents. Drowsiness-related road accidents …
affects driver behavior, potentially causing accidents. Drowsiness-related road accidents …
V2iFi: In-vehicle vital sign monitoring via compact RF sensing
Given the significant amount of time people spend in vehicles, health issues under driving
condition have become a major concern. Such issues may vary from fatigue, asthma, stroke …
condition have become a major concern. Such issues may vary from fatigue, asthma, stroke …
[HTML][HTML] A robust and efficient EEG-based drowsiness detection system using different machine learning algorithms
IA Fouad - Ain Shams engineering journal, 2023 - Elsevier
Vehicle accidents on long routes around the world are frequently caused by drowsy drivers.
It is mainly because there is no system that measures alertness. The driver will be notified to …
It is mainly because there is no system that measures alertness. The driver will be notified to …