Driver emotion recognition for intelligent vehicles: A survey

S Zepf, J Hernandez, A Schmitt, W Minker… - ACM Computing …, 2020 - dl.acm.org
Driving can occupy a large portion of daily life and often can elicit negative emotional states
like anger or stress, which can significantly impact road safety and long-term human health …

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 …

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 …

Smart technologies for long-term stress monitoring at work

R Kocielnik, N Sidorova, FM Maggi… - proceedings of the …, 2013 - ieeexplore.ieee.org
Due to the growing pace of life, stress became one of the major factors causing health
problems. We have developed a framework for measuring stress in real-life conditions …

XGBoost algorithm-based monitoring model for urban driving stress: Combining driving behaviour, driving environment, and route familiarity

Y Lu, X Fu, E Guo, F Tang - IEEE Access, 2021 - ieeexplore.ieee.org
Stress is considered by many studies to affect traffic safety, and many researchers have
attempted to monitor the dynamics of driving stress. Previous research has relied …

International large-scale vehicle corpora for research on driver behavior on the road

K Takeda, JHL Hansen, P Boyraz… - IEEE Transactions …, 2011 - ieeexplore.ieee.org
This paper considers a comprehensive and collaborative project to collect large amounts of
driving data on the road for use in a wide range of areas of vehicle-related research …

Deep neural network approach for pose, illumination, and occlusion invariant driver emotion detection

SB Sukhavasi, SB Sukhavasi, K Elleithy… - International Journal of …, 2022 - mdpi.com
Monitoring drivers' emotions is the key aspect of designing advanced driver assistance
systems (ADAS) in intelligent vehicles. To ensure safety and track the possibility of vehicles' …

An ensemble classification model with unsupervised representation learning for driving stress recognition using physiological signals

K Wang, P Guo - IEEE transactions on intelligent transportation …, 2020 - ieeexplore.ieee.org
This paper presents an ensemble classification model with unsupervised feature learning for
driving stress recognition under real-world driving conditions. The driving stress is detected …

Stressful first impressions in job interviews

AN Finnerty, S Muralidhar, LS Nguyen… - Proceedings of the 18th …, 2016 - dl.acm.org
Stress can impact many aspects of our lives, such as the way we interact and work with
others, or the first impressions that we make. In the past, stress has been most commonly …

Driver adaptive and context aware active safety systems using CAN-bus signals

A Sathyanarayana, P Boyraz, Z Purohit… - 2010 IEEE Intelligent …, 2010 - ieeexplore.ieee.org
Increasing stress levels in drivers, along with their ability to multi task with infotainment
systems cause the drivers to deviate their attention from the primary task of driving. With the …