[HTML][HTML] A review of recent developments in driver drowsiness detection systems

Y Albadawi, M Takruri, M Awad - Sensors, 2022 - mdpi.com
Continuous advancements in computing technology and artificial intelligence in the past
decade have led to improvements in driver monitoring systems. Numerous experimental …

A survey on driver behavior analysis from in-vehicle cameras

J Wang, W Chai, A Venkatachalapathy… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
Distracted or drowsy driving is unsafe driving behavior responsible for thousands of crashes
every year. Studying driver behavior has challenges associated with observing drivers in …

[HTML][HTML] Driver drowsiness detection by applying deep learning techniques to sequences of images

E Magán, MP Sesmero, JM Alonso-Weber, A Sanchis - Applied Sciences, 2022 - mdpi.com
This work presents the development of an ADAS (advanced driving assistance system)
focused on driver drowsiness detection, whose objective is to alert drivers of their drowsy …

Real-time driver-drowsiness detection system using facial features

W Deng, R Wu - Ieee Access, 2019 - ieeexplore.ieee.org
The face, an important part of the body, conveys a lot of information. When a driver is in a
state of fatigue, the facial expressions, eg, the frequency of blinking and yawning, are …

An intelligent system for monitoring students' engagement in large classroom teaching through facial expression recognition

C Pabba, P Kumar - Expert Systems, 2022 - Wiley Online Library
Students' disengagement problem has become critical in the modern scenario due to
various distractions and lack of student‐teacher interactions. This problem is exacerbated …

Driver drowsiness detection via a hierarchical temporal deep belief network

CH Weng, YH Lai, SH Lai - … Vision–ACCV 2016 Workshops: ACCV 2016 …, 2017 - Springer
Drowsy driver alert systems have been developed to minimize and prevent car accidents.
Existing vision-based systems are usually restricted to using visual cues, depend on tedious …

[HTML][HTML] Towards a better understanding of annotation tools for medical imaging: a survey

M Aljabri, M AlAmir, M AlGhamdi… - Multimedia tools and …, 2022 - Springer
Medical imaging refers to several different technologies that are used to view the human
body to diagnose, monitor, or treat medical conditions. It requires significant expertise to …

Real time driver fatigue detection system based on multi-task ConNN

BK Savaş, Y Becerikli - Ieee Access, 2020 - ieeexplore.ieee.org
Changes and progresses in information technologies have played an important role in the
development of intelligent vehicle systems in recent years. Driver fatigue is an important …

[图书][B] Traffic safety and human behavior

D Shinar - 2017 - emerald.com
“A grave problem that developed in New Hampshire… now has all the motor-vehicle
commissioners of the eastern states in a wax. It's whether radios should be allowed on cars …

Whenet: Real-time fine-grained estimation for wide range head pose

Y Zhou, J Gregson - arXiv preprint arXiv:2005.10353, 2020 - arxiv.org
We present an end-to-end head-pose estimation network designed to predict Euler angles
through the full range head yaws from a single RGB image. Existing methods perform well …