A review of recent developments in driver drowsiness detection systems
Continuous advancements in computing technology and artificial intelligence in the past
decade have led to improvements in driver monitoring systems. Numerous experimental …
decade have led to improvements in driver monitoring systems. Numerous experimental …
A comprehensive review of driver behavior analysis utilizing smartphones
Human factors are the primary catalyst for traffic accidents. Among different factors, fatigue,
distraction, drunkenness, and/or recklessness are the most common types of abnormal …
distraction, drunkenness, and/or recklessness are the most common types of abnormal …
Investigating the prospect of leveraging blockchain and machine learning to secure vehicular networks: A survey
With recent developments in communication technologies, vehicular networks have become
a reality with various applications. However, the cybersecurity aspect of vehicular networks …
a reality with various applications. However, the cybersecurity aspect of vehicular networks …
Feature extraction method for classification of alertness and drowsiness states EEG signals
Drowsy driving is one of the major causes of road accidents. The road accidents can be
avoided by the discrimination of alertness and drowsiness states of the drives. The …
avoided by the discrimination of alertness and drowsiness states of the drives. The …
A survey of security and privacy issues in the Internet of Things from the layered context
Summary Internet of Things (IoT) is a novel paradigm, which not only facilitates a large
number of devices to be ubiquitously connected over the Internet but also provides a …
number of devices to be ubiquitously connected over the Internet but also provides a …
EEG-based driver fatigue detection using FAWT and multiboosting approaches
Globally, 14%–20% of road accidents are mainly due to driver fatigue, the causes of which
are instance sickness, travelling for long distance, boredom as a result of driving along the …
are instance sickness, travelling for long distance, boredom as a result of driving along the …
Early identification and detection of driver drowsiness by hybrid machine learning
Drunkenness or exhaustion is a leading cause of car accidents, with severe implications for
road safety. More fatal accidents could be avoided if fatigued drivers were warned ahead of …
road safety. More fatal accidents could be avoided if fatigued drivers were warned ahead of …
A survey on anomalous behavior detection for elderly care using dense-sensing networks
Facing the gradual ageing society, elderly people living independently are in need of
serious attention. In order to assist them to live in a safer environment, the increasing cost of …
serious attention. In order to assist them to live in a safer environment, the increasing cost of …
Machine learning and deep learning techniques for driver fatigue and drowsiness detection: a review
There are several factors for vehicle accidents during driving such as drivers' negligence,
drowsiness, and fatigue. These accidents can be avoided, if drivers are warned in time …
drowsiness, and fatigue. These accidents can be avoided, if drivers are warned in time …
A novel approach for driver fatigue detection based on visual characteristics analysis
Driver drowsiness is the major cause of many traffic accidents. A study by the National
Institute of Sleep and Vigilance showed that the majority of the accidents took place on fast …
Institute of Sleep and Vigilance showed that the majority of the accidents took place on fast …