A review of psychophysiological measures to assess cognitive states in real-world driving

M Lohani, BR Payne, DL Strayer - Frontiers in human neuroscience, 2019 - frontiersin.org
As driving functions become increasingly automated, motorists run the risk of becoming
cognitively removed from the driving process. Psychophysiological measures may provide …

A critical review of proactive detection of driver stress levels based on multimodal measurements

MN Rastgoo, B Nakisa, A Rakotonirainy… - ACM Computing …, 2018 - dl.acm.org
Stress is a major concern in daily life, as it imposes significant and growing health and
economic costs on society every year. Stress and driving are a dangerous combination and …

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 …

[HTML][HTML] Correlation between Situational Awareness and EEG signals

JL Kästle, B Anvari, J Krol, HA Wurdemann - Neurocomputing, 2021 - Elsevier
An important aspect in safety–critical domains is Situational Awareness (SA) where
operators consolidate data into an understanding of the situation that needs to be updated …

[HTML][HTML] Identifying traffic context using driving stress: A longitudinal preliminary case study

OV Bitkina, J Kim, J Park, J Park, HK Kim - Sensors, 2019 - mdpi.com
Many previous studies have identified that physiological responses of a driver are
significantly associated with driving stress. However, research is limited to identifying the …

How to identify the take-over criticality in conditionally automated driving? An examination using drivers' physiological parameters and situational factors

B Yi, H Cao, X Song, S Zhao, W Guo, M Li - Transportation research part F …, 2022 - Elsevier
Autonomous vehicles and advanced driver assistance technology are growing
exponentially, and vehicles equipped with conditional automation, which has features like …

[HTML][HTML] Accurate and early detection of sleepiness, fatigue and stress levels in drivers through Heart Rate Variability parameters: a systematic review

A Burlacu, C Brinza, A Brezulianu… - Reviews in cardiovascular …, 2021 - imrpress.com
Sleepiness, fatigue, and stress in drivers are the leading causes of car crashes. In the late
two decades, there is an endeavor to monitor vital signs, stress levels, and fatigue using …

Driver behavior in road tunnels: association with driver stress and performance

EE Miller, LN Boyle - Transportation Research Record, 2015 - journals.sagepub.com
Complex traffic environments can affect driver stress and driving performance negatively.
Driving through tunnels can be particularly stressful, and these segments have been …

Detection of driver cognitive distraction using machine learning methods

A Misra, S Samuel, S Cao, K Shariatmadari - IEEE Access, 2023 - ieeexplore.ieee.org
Driver distraction is one of the primary causes of crashes. As a result, there is a great need to
continuously observe driver state and provide appropriate interventions to distracted drivers …

Respiration and heart rate modulation due to competing cognitive tasks while driving

AR Hidalgo-Muñoz, AJ Béquet… - Frontiers in Human …, 2019 - frontiersin.org
Research works on operator monitoring underline the benefit of taking into consideration
several signal modalities to improve accuracy for an objective mental state diagnosis. Heart …