Detecting and recognizing driver distraction through various data modality using machine learning: A review, recent advances, simplified framework and open …

HV Koay, JH Chuah, CO Chow, YL Chang - Engineering Applications of …, 2022 - Elsevier
Driver distraction is one of the main causes of fatal traffic accidents. Therefore, the ability to
detect driver inattention is essential in building a safe yet intelligent transportation system …

Psycho-physiological measures on a bicycle simulator in immersive virtual environments: How protected/curbside bike lanes may improve perceived safety

X Guo, A Tavakoli, A Angulo, E Robartes… - … research part F: traffic …, 2023 - Elsevier
As a healthier and more sustainable way of mobility, cycling has been advocated by
literature and policy. However, current trends in bicyclist crash fatalities suggest deficiencies …

A Lightweight In-Vehicle Alcohol Detection Using Smart Sensing and Supervised Learning

Q Abu Al-Haija, M Krichen - Computers, 2022 - mdpi.com
According to the risk investigations of being involved in an accident, alcohol-impaired
driving is one of the major causes of motor vehicle accidents. Preventing highly intoxicated …

Orclsim: A system architecture for studying bicyclist and pedestrian physiological behavior through immersive virtual environments

X Guo, A Angulo, E Robartes, TD Chen… - Journal of advanced …, 2022 - Wiley Online Library
Injuries and fatalities for vulnerable road users, especially bicyclists and pedestrians, are on
the rise. To better inform design for vulnerable road users, we need to evaluate how bicyclist …

[HTML][HTML] Driving into the future: A scoping review of smartwatch use for real-time driver monitoring

RE Barka, I Politis - Transportation Research Interdisciplinary Perspectives, 2024 - Elsevier
The use of smartwatches has increased significantly in recent years for leisure, health, and
research purposes. In the transport sector, smartwatches facilitate cost-effective, unintrusive …

Driver state modeling through latent variable state space framework in the wild

A Tavakoli, S Boker, A Heydarian - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Analyzing the impact of the environment on drivers' stress level and workload is of high
importance for designing human-centered driver-vehicle interaction systems and to …

[HTML][HTML] Exploring the use of wearable sensors and natural language processing technology to improve patient-clinician communication: protocol for a feasibility study

V LeBaron, M Boukhechba, J Edwards… - JMIR Research …, 2022 - researchprotocols.org
Background: Effective communication is the bedrock of quality health care, but it continues to
be a major problem for patients, family caregivers, health care providers, and organizations …

Roadway Design Matters: Variation in Bicyclists' Psycho-Physiological Responses in Different Urban Roadway Designs

X Guo, A Tavakoli, E Robartes, A Angulo… - arXiv preprint arXiv …, 2022 - arxiv.org
As a healthier and more sustainable way of mobility, cycling has been advocated by
literature and policy. However, current trends in bicyclist crash fatalities suggest deficiencies …

Safety Is Our Friend: A Federated Learning Framework Toward Driver's State and Behavior Detection

TA Khoa, ND Trac, VP Tinh, NH Nam… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
“Safety is our friend, accidents our enemy” is the propaganda social information on traffic
safety in several countries. This proves that safety is a top priority when using vehicles when …

[PDF][PDF] A Lightweight In-Vehicle Alcohol Detection Using Smart Sensing and Supervised Learning. Computers 2022, 11, 121

Q Abu Al-Haija, M Krichen - 2022 - academia.edu
According to the risk investigations of being involved in an accident, alcohol-impaired
driving is one of the major causes of motor vehicle accidents. Preventing highly intoxicated …