A review of driver fatigue detection and its advances on the use of RGB-D camera and deep learning

F Liu, D Chen, J Zhou, F Xu - Engineering Applications of Artificial …, 2022 - Elsevier
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 …

Emotion on the road—necessity, acceptance, and feasibility of affective computing in the car

F Eyben, M Wöllmer, T Poitschke… - Advances in Human …, 2010 - Wiley Online Library
Besides reduction of energy consumption, which implies alternate actuation and light
construction, the main research domain in automobile development in the near future is …

An end-to-end compression framework based on convolutional neural networks

F Jiang, W Tao, S Liu, J Ren, X Guo… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
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 …

Objective measures, sensors and computational techniques for stress recognition and classification: A survey

N Sharma, T Gedeon - Computer methods and programs in biomedicine, 2012 - Elsevier
Stress is a major growing concern in our day and age adversely impacting both individuals
and society. Stress research has a wide range of benefits from improving personal …

Real-time system for monitoring driver vigilance

LM Bergasa, J Nuevo, MA Sotelo… - IEEE Transactions …, 2006 - ieeexplore.ieee.org
This paper presents a nonintrusive prototype computer vision system for monitoring a
driver's vigilance in real time. It is based on a hardware system for the real-time acquisition …

Automatic driver stress level classification using multimodal deep learning

MN Rastgoo, B Nakisa, F Maire, A Rakotonirainy… - Expert Systems with …, 2019 - Elsevier
Stress has been identified as one of the contributing factors to vehicle crashes which create
a significant cost in terms of loss of life and productivity for governments and societies …

Estimating cognitive load using remote eye tracking in a driving simulator

O Palinko, AL Kun, A Shyrokov, P Heeman - Proceedings of the 2010 …, 2010 - dl.acm.org
We report on the results of a study in which pairs of subjects were involved in spoken
dialogues and one of the subjects also operated a simulated vehicle. We estimated the …

[PDF][PDF] Overfitting in making comparisons between variable selection methods

J Reunanen - Journal of Machine Learning Research, 2003 - jmlr.org
This paper addresses a common methodological flaw in the comparison of variable
selection methods. A practical approach to guide the search or the selection process is to …

Affective learning—a manifesto

RW Picard, S Papert, W Bender, B Blumberg… - BT technology …, 2004 - Springer
The use of the computer as a model, metaphor, and modelling tool has tended to privilege
the'cognitive'over the'affective'by engendering theories in which thinking and learning are …

Detecting emotional stress from facial expressions for driving safety

H Gao, A Yüce, JP Thiran - 2014 IEEE International …, 2014 - ieeexplore.ieee.org
Monitoring the attentive and emotional status of the driver is critical for the safety and comfort
of driving. In this work a real-time non-intrusive monitoring system is developed, which …