Multimodal features for detection of driver stress and fatigue

A Němcová, V Svozilová, K Bucsuházy… - IEEE Transactions …, 2020 - ieeexplore.ieee.org
Driver fatigue and stress significantly contribute to higher number of car accidents
worldwide. Although, different detection approaches have been already commercialized and …

[HTML][HTML] Stress monitoring using wearable sensors: a pilot study and stress-predict dataset

T Iqbal, AJ Simpkin, D Roshan, N Glynn, J Killilea… - Sensors, 2022 - mdpi.com
With the recent advancements in the field of wearable technologies, the opportunity to
monitor stress continuously using different physiological variables has gained significant …

A sensitivity analysis of biophysiological responses of stress for wearable sensors in connected health

T Iqbal, P Redon-Lurbe, AJ Simpkin, A Elahi… - IEEE …, 2021 - ieeexplore.ieee.org
Stress is known as a silent killer that contributes to several life-threatening health conditions
such as high blood pressure, heart disease, and diabetes. The current standard for stress …

A real-time energy consumption minimization framework for electric vehicles routing optimization based on SARSA reinforcement learning

TM Aljohani, O Mohammed - Vehicles, 2022 - mdpi.com
A real-time, metadata-driven electric vehicle routing optimization to reduce on-road energy
requirements is proposed in this work. The proposed strategy employs the state–action …

Analysis of driver's EEG given take-over alarm in SAE level 3 automated driving in a simulated environment

J Lee, JH Yang - International journal of automotive technology, 2020 - Springer
As partially automated driving vehicles are set to be mass produced, there is an increased
necessity to research situations where such partially automated vehicles become unable to …

Analysis of physiological signals for stress recognition with different car handling setups

P Zontone, A Affanni, R Bernardini, L Del Linz, A Piras… - Electronics, 2022 - mdpi.com
When designing a car, the vehicle dynamics and handling are important aspects, as they
can satisfy a purpose in professional racing, as well as contributing to driving pleasure and …

Sensitivity of physiological measures of acute driver stress: A meta-analytic review

L Kerautret, S Dabic, J Navarro - Frontiers in neuroergonomics, 2021 - frontiersin.org
Background: The link between driving performance impairment and driver stress is well-
established. Identifying and understanding driver stress is therefore of major interest in terms …

Recognizing and explaining driving stress using a Shapley additive explanation model by fusing EEG and behavior signals

L Yang, R Zhou, G Li, Y Yang, Q Zhao - Accident Analysis & Prevention, 2025 - Elsevier
Driving stress is a critical factor leading to road traffic accidents. Despite numerous studies
that have been conducted on driving stress recognition, most of them only focus on accuracy …

Detection of real-world driving-induced affective state using physiological signals and multi-view multi-task machine learning

D Lopez-Martinez, N El-Haouij… - 2019 8th International …, 2019 - ieeexplore.ieee.org
Affective states have a critical role in driving performance and safety. They can degrade
driver situation awareness and negatively impact cognitive processes, severely diminishing …

Emotional response analysis using electrodermal activity, electrocardiogram and eye tracking signals in drivers with various car setups

P Zontone, A Affanni, R Bernardini… - 2020 28th European …, 2021 - ieeexplore.ieee.org
In the automotive industry, it is important to evaluate different car setups in order to match a
professional driver's preference or to match the most acceptable setup for most drivers …