An end-to-end compression framework based on convolutional neural networks
Deep learning, eg, convolutional neural networks (CNNs), has achieved great success in
image processing and computer vision especially in high-level vision applications, such as …
image processing and computer vision especially in high-level vision applications, such as …
EEG signal analysis for the assessment and quantification of driver's fatigue
Fatigue in human drivers is a serious cause of road accidents. Hence, it is important to
devise methods to detect and quantify the fatigue. This paper presents a method based on a …
devise methods to detect and quantify the fatigue. This paper presents a method based on a …
Drowsy driver detection using representation learning
K Dwivedi, K Biswaranjan… - 2014 IEEE international …, 2014 - ieeexplore.ieee.org
The advancement of computing technology over the years has provided assistance to
drivers mainly in the form of intelligent vehicle systems. Driver fatigue is a significant factor in …
drivers mainly in the form of intelligent vehicle systems. Driver fatigue is a significant factor in …
Driver fatigue detection based on eye tracking and dynamic template matching
WB Horng, CY Chen, Y Chang… - … on Networking, Sensing …, 2004 - ieeexplore.ieee.org
A vision-based real-time driver fatigue detection system is proposed for driving safely. The
driver's face is located, from color images captured in a car, by using the characteristic of …
driver's face is located, from color images captured in a car, by using the characteristic of …
A multimodal fusion fatigue driving detection method based on heart rate and PERCLOS
Existing visual-based fatigue detection methods usually monitor drivers' fatigue by capturing
their facial features, including eyelid movements, yawn frequency and head pose. However …
their facial features, including eyelid movements, yawn frequency and head pose. However …
Driver fatigue detection: a survey
Q Wang, J Yang, M Ren, Y Zheng - 2006 6th world congress …, 2006 - ieeexplore.ieee.org
Driver fatigue is an important factor in a large number of accidents. There has been much
work done in driver fatigue detection. This paper presents a comprehensive survey of …
work done in driver fatigue detection. This paper presents a comprehensive survey of …
Driver drowsiness monitoring system using visual behaviour and machine learning
A Kumar, R Patra - 2018 IEEE Symposium on Computer …, 2018 - ieeexplore.ieee.org
Drowsy driving is one of the major causes of road accidents and death. Hence, detection of
driver's fatigue and its indication is an active research area. Most of the conventional …
driver's fatigue and its indication is an active research area. Most of the conventional …
Convolutional two-stream network using multi-facial feature fusion for driver fatigue detection
Road traffic accidents caused by fatigue driving are common causes of human casualties. In
this paper, we present a driver fatigue detection algorithm using two-stream network models …
this paper, we present a driver fatigue detection algorithm using two-stream network models …
Objective and subjective measures of sleepiness, and their associations with on‐road driving events in shift workers
To assess the relationships between sleepiness and the incidence of adverse driving events
in nurses commuting to and from night and rotating shifts, 27 rotating and permanent night …
in nurses commuting to and from night and rotating shifts, 27 rotating and permanent night …
A vision-based system for monitoring the loss of attention in automotive drivers
Onboard monitoring of the alertness level of an automotive driver has been challenging to
research in transportation safety and management. In this paper, we propose a robust real …
research in transportation safety and management. In this paper, we propose a robust real …