Sensor technologies for intelligent transportation systems

J Guerrero-Ibáñez, S Zeadally, J Contreras-Castillo - Sensors, 2018 - mdpi.com
Modern society faces serious problems with transportation systems, including but not limited
to traffic congestion, safety, and pollution. Information communication technologies have …

Effects of whole-body vibration on driver drowsiness: A review

MHU Bhuiyan, M Fard, SR Robinson - Journal of safety research, 2022 - Elsevier
Introduction: Whole-body vibration has direct impacts on driver vigilance by increasing
physical and cognitive stress on the driver, which leads to drowsiness, fatigue and road …

Wearable device-based system to monitor a driver's stress, fatigue, and drowsiness

M Choi, G Koo, M Seo, SW Kim - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
This paper proposes a wearable device-based system to monitor the abnormal conditions of
a driver, including stress, fatigue, and drowsiness. The system measures the motional and …

Online heart monitoring systems on the internet of health things environments: A survey, a reference model and an outlook

MAG Santos, R Munoz, R Olivares, PP Rebouças Filho… - Information …, 2020 - Elsevier
Abstract The Internet of Health Things promotes personalized and higher standards of care.
Its application is diverse and attracts the attention of a substantial section of the scientific …

Wearable real-time heart attack detection and warning system to reduce road accidents

MEH Chowdhury, K Alzoubi, A Khandakar, R Khallifa… - Sensors, 2019 - mdpi.com
Heart attack is one of the leading causes of human death worldwide. Every year, about
610,000 people die of heart attack in the United States alone—that is one in every four …

Machine learning and end-to-end deep learning for monitoring driver distractions from physiological and visual signals

M Gjoreski, MŽ Gams, M Luštrek, P Genc… - IEEE …, 2020 - ieeexplore.ieee.org
It is only a matter of time until autonomous vehicles become ubiquitous; however, human
driving supervision will remain a necessity for decades. To assess the driver's ability to take …

Influence of capacitive coupling on high-fidelity non-contact ECG measurement

TW Wang, H Zhang, SF Lin - IEEE Sensors Journal, 2020 - ieeexplore.ieee.org
Non-contact electrocardiogram (ECG) measurement is an advanced sensing technique that
uses capacitive electrodes to detect cardiac signals through non-conductive fabrics …

Evaluation of a multichannel non-contact ECG system and signal quality algorithms for sleep apnea detection and monitoring

ID Castro, C Varon, T Torfs, S Van Huffel, R Puers… - Sensors, 2018 - mdpi.com
Sleep-related conditions require high-cost and low-comfort diagnosis at the hospital during
one night or longer. To overcome this situation, this work aims to evaluate an unobtrusive …

Convolutional neural network based detection of atrial fibrillation combing RR intervals and F-wave frequency spectrum

D Lai, X Zhang, Y Zhang… - 2019 41st annual …, 2019 - ieeexplore.ieee.org
Atrial Fibrillation (AF) is one of the arrhythmias that is common and serious in clinic. In this
study, a novel method of AF classification with a convolutional neural network (CNN) was …

[HTML][HTML] Literature review of driving fatigue research based on bibliometric analysis

F Guo, Y Zhou, X Wang, W Li, J Cai - Journal of Traffic and Transportation …, 2024 - Elsevier
Driving for a long time can lead to fatigue, which can affect information processing and
decision-making, potentially threatening driving safety. By exploring the generation and …