A review of driver fatigue detection and its advances on the use of RGB-D camera and deep learning
Driver fatigue is an essential reason for traffic accidents, which poses a severe threat to
people's lives and property. In this review, we summarize the latest research findings and …
people's lives and property. In this review, we summarize the latest research findings and …
Driver distraction using visual-based sensors and algorithms
Driver distraction, defined as the diversion of attention away from activities critical for safe
driving toward a competing activity, is increasingly recognized as a significant source of …
driving toward a competing activity, is increasingly recognized as a significant source of …
Driver behavior detection and classification using deep convolutional neural networks
Driver behavior monitoring system as Intelligent Transportation Systems (ITS) have been
widely exploited to reduce the traffic accidents risk. Most previous methods for monitoring …
widely exploited to reduce the traffic accidents risk. Most previous methods for monitoring …
Driver behavior analysis for safe driving: A survey
S Kaplan, MA Guvensan, AG Yavuz… - IEEE Transactions on …, 2015 - ieeexplore.ieee.org
Driver drowsiness and distraction are two main reasons for traffic accidents and the related
financial losses. Therefore, researchers have been working for more than a decade on …
financial losses. Therefore, researchers have been working for more than a decade on …
Heart rate variability-based driver drowsiness detection and its validation with EEG
K Fujiwara, E Abe, K Kamata… - IEEE transactions on …, 2018 - ieeexplore.ieee.org
Objective: Driver drowsiness detection is a key technology that can prevent fatal car
accidents caused by drowsy driving. The present work proposes a driver drowsiness …
accidents caused by drowsy driving. The present work proposes a driver drowsiness …
Detecting driving stress in physiological signals based on multimodal feature analysis and kernel classifiers
L Chen, Y Zhao, P Ye, J Zhang, J Zou - Expert Systems with Applications, 2017 - Elsevier
Monitoring driving status has great potential in helping us decline the occurrence probability
of traffic accidents and the aim of this research is to develop a novel system for driving stress …
of traffic accidents and the aim of this research is to develop a novel system for driving stress …
Defending Yarbus: Eye movements reveal observers' task
In a very influential yet anecdotal illustration, Yarbus suggested that human eye-movement
patterns are modulated top down by different task demands. While the hypothesis that it is …
patterns are modulated top down by different task demands. While the hypothesis that it is …
Deep learning-based gaze detection system for automobile drivers using a NIR camera sensor
A paradigm shift is required to prevent the increasing automobile accident deaths that are
mostly due to the inattentive behavior of drivers. Knowledge of gaze region can provide …
mostly due to the inattentive behavior of drivers. Knowledge of gaze region can provide …
Automatic detection of alertness/drowsiness from physiological signals using wavelet-based nonlinear features and machine learning
L Chen, Y Zhao, J Zhang, J Zou - Expert Systems with Applications, 2015 - Elsevier
Physiological signals such as electroencephalogram (EEG) and electrooculography (EOG)
recordings are very important non-invasive measures of detecting a person's …
recordings are very important non-invasive measures of detecting a person's …
[图书][B] Object detection and recognition in digital images: theory and practice
B Cyganek - 2013 - books.google.com
Object detection, tracking and recognition in images are key problems in computer vision.
This book provides the reader with a balanced treatment between the theory and practice of …
This book provides the reader with a balanced treatment between the theory and practice of …