Detecting and recognizing driver distraction through various data modality using machine learning: A review, recent advances, simplified framework and open …
Driver distraction is one of the main causes of fatal traffic accidents. Therefore, the ability to
detect driver inattention is essential in building a safe yet intelligent transportation system …
detect driver inattention is essential in building a safe yet intelligent transportation system …
[HTML][HTML] A Comprehensive Review: Multisensory and Cross-Cultural Approaches to Driver Emotion Modulation in Vehicle Systems
J Zhang, RAB Raja Ghazilla, HJ Yap, WY Gan - Applied Sciences, 2024 - mdpi.com
Featured Application This study will focus on enhancing vehicle design by integrating
advanced multisensory and culturally adaptive emotion modulation systems to meet the …
advanced multisensory and culturally adaptive emotion modulation systems to meet the …
Psycho-physiological measures on a bicycle simulator in immersive virtual environments: How protected/curbside bike lanes may improve perceived safety
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 …
literature and policy. However, current trends in bicyclist crash fatalities suggest deficiencies …
Autovis: Enabling mixed-immersive analysis of automotive user interface interaction studies
Automotive user interface (AUI) evaluation becomes increasingly complex due to novel
interaction modalities, driving automation, heterogeneous data, and dynamic environmental …
interaction modalities, driving automation, heterogeneous data, and dynamic environmental …
Driver emotion recognition with a hybrid attentional multimodal fusion framework
Negative emotions may induce dangerous driving behaviors leading to extremely serious
traffic accidents. Therefore, it is necessary to establish a system that can automatically …
traffic accidents. Therefore, it is necessary to establish a system that can automatically …
Orclsim: A system architecture for studying bicyclist and pedestrian physiological behavior through immersive virtual environments
Injuries and fatalities for vulnerable road users, especially bicyclists and pedestrians, are on
the rise. To better inform design for vulnerable road users, we need to evaluate how bicyclist …
the rise. To better inform design for vulnerable road users, we need to evaluate how bicyclist …
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 …
scenario and provide personalized context to driving behavior. However, NDD requires a …
All you need is data: A multimodal approach in understanding driver behavior
K Kwakye, Y Seong, S Yi… - Proceedings of the Human …, 2024 - journals.sagepub.com
Despite advancements in vehicle safety and driving aids, road traffic accidents remain a
major issue globally, largely due to human error. A comprehensive understanding of driver …
major issue globally, largely due to human error. A comprehensive understanding of driver …
Driver state and behavior detection through smart wearables
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 …
decision making is the centerpiece of semi-automated vehicle safety. Multiple systems have …
Rethinking infrastructure design: evaluating pedestrians and VRUs' psychophysiological and behavioral responses to different roadway designs
The integration of human-centric approaches has gained more attention recently due to
more automated systems being introduced into our built environments (buildings, roads …
more automated systems being introduced into our built environments (buildings, roads …