Survey and synthesis of state of the art in driver monitoring

A Halin, JG Verly, M Van Droogenbroeck - Sensors, 2021 - mdpi.com
Road vehicle accidents are mostly due to human errors, and many such accidents could be
avoided by continuously monitoring the driver. Driver monitoring (DM) is a topic of growing …

Automatic stress detection in car drivers based on non-invasive physiological signals using machine learning techniques

AI Siam, SA Gamel, FM Talaat - Neural Computing and Applications, 2023 - Springer
Stress is now thought to be a major cause to a wide range of human health issues. However,
many people may ignore their stress feelings and disregard to take action before serious …

Towards mindless stress regulation in advanced driver assistance systems: a systematic review

AJ Béquet, AR Hidalgo-Muñoz, C Jallais - Frontiers in psychology, 2020 - frontiersin.org
Background: Stress can frequently occur in the driving context. Its cognitive effects can be
deleterious and lead to uncomfortable or risky situations. While stress detection in this …

Driver emotions recognition based on improved faster R-CNN and neural architectural search network

K Zaman, Z Sun, SM Shah, M Shoaib, L Pei, A Hussain - Symmetry, 2022 - mdpi.com
It is critical for intelligent vehicles to be capable of monitoring the health and well-being of
the drivers they transport on a continuous basis. This is especially true in the case of …

How can the trust-change direction be measured and identified during takeover transitions in conditionally automated driving? Using physiological responses and …

B Yi, H Cao, X Song, J Wang, S Zhao, W Guo… - Human …, 2024 - journals.sagepub.com
Objective This paper proposes an objective method to measure and identify trust-change
directions during takeover transitions (TTs) in conditionally automated vehicles (AVs) …

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 …

Evaluation of driver stress intervention with guided breathing and positive comments

X Zhou, G He, H Zhu, Y Wang, W Zhang - Applied Ergonomics, 2024 - Elsevier
While many methods have been proposed to detect driver stress with high accuracy, few
studies have explored how to mitigate stress during driving effectively. This study proposed …

Predicting driver self-reported stress by analyzing the road scene

C Bustos, N Elhaouij, A Sole-Ribalta… - 2021 9th …, 2021 - ieeexplore.ieee.org
Several studies have shown the relevance of biosignals in driver stress recognition. In this
work, we examine something important that has been less frequently explored: We develop …

How human-automation interaction experiences, trust propensity and dynamic trust affect drivers' physiological responses in conditionally automated driving …

B Yi, H Cao, X Song, J Wang, W Guo… - … research part F: traffic …, 2023 - Elsevier
Although the human-automation interaction experiences (ie, the takeover request [TOR] lead
time and system usage time) have been shown to play an important role in the physiological …

Emotional response to in-car dynamic lighting

T Kim, Y Kim, H Jeon, CS Choi, HJ Suk - International journal of automotive …, 2021 - Springer
As an emotion elicitor and mood generator, light receives considerable attention. In this
study, we investigated the effects of cluster lighting on a driver's emotional response, when …