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 …

Multimodal driver state modeling through unsupervised learning

A Tavakoli, A Heydarian - Accident Analysis & Prevention, 2022 - Elsevier
Naturalistic driving data (NDD) can help understand drivers' reactions to each driving
scenario and provide personalized context to driving behavior. However, NDD requires a …

Empathic and empathetic systematic review to standardize the development of reliable and sustainable empathic systems

K Daher, D Saad, E Mugellini, D Lalanne… - Sensors, 2022 - mdpi.com
Empathy plays a crucial role in human life, and the evolution of technology is affecting the
way humans interact with machines. The area of affective computing is attracting …

From single-point to multi-point reflection modeling: Robust vital signs monitoring via mmwave sensing

D Zhang, X Zhang, Y **e, F Zhang… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
Long-term monitoring of human vital signs like respiration and heartbeat is crucial for the
early detection of diverse diseases and overall health monitoring. Contact-free vital signs …

Driver state and behavior detection through smart wearables

A Tavakoli, S Kumar, M Boukhechba… - 2021 IEEE Intelligent …, 2021 - ieeexplore.ieee.org
Integrating driver, in-cabin, and outside environ-ment's contextual cues into the vehicle's
decision making is the centerpiece of semi-automated vehicle safety. Multiple systems have …

How are drivers' stress levels and emotions associated with the driving context? A naturalistic study

A Tavakoli, N Lai, V Balali, A Heydarian - Journal of Transport & Health, 2023 - Elsevier
Introduction Understanding and mitigating drivers' negative emotions, and stress levels, is of
high importance for enhancing road safety, and human well-being. While detecting drivers' …

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 …

The impact of surrounding road objects and conditions on drivers abrupt heart rate changes

A Tavakoli, A Heydarian - Proceedings of the Human Factors …, 2022 - journals.sagepub.com
Recent studies have pointed out the importance of mitigating drivers' stress and negative
emotions. These studies show that certain road objects such as big vehicles might be …