In this paper the various driving style analysis solutions are investigated. An in-depth
investigation is performed to identify the relevant machine learning and artificial intelligence …

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 …

Human emotions are integral to daily tasks, and driving is now a typical daily task. Creating
a multi-modal human emotion dataset in driving tasks is an essential step in human emotion …

A driver's behaviors can be affected by visual, cognitive, auditory, and manual distractions.
While it is important to identify the patterns associated with particular secondary tasks, it is …

<? Pub Dtl=""?> With the development of new in-vehicle technology, drivers are exposed to
more sources of distraction, which can lead to an unintentional accident. Monitoring the …

Recently, in-car monitoring has emerged as a promising technology for detecting early-
stage abnormal status of the driver and providing timely alerts to prevent traffic accidents …

Visual attention is one of the most important aspects related to driver distraction. Estimating
the driver's visual attention can help a vehicle understand the awareness state of the driver …

This study explores the feasibility of detecting drivers' mirror-checking actions using
noninvasive sensors. Checking the mirrors is an important primary driving action that allows …

A smart vehicle should be able to monitor the actions and behaviors of the human driver to
provide critical warnings or intervene when necessary. Recent advancements in deep …

Non-driving related cognitive load and variations of emotional state may impact a driver's
capability to control a vehicle and introduces driving errors. Availability of reliable cognitive …