Monitoring Distracted Driving Behaviours with Smartphones: An Extended Systematic Literature Review
Driver behaviour monitoring is a broad area of research, with a variety of methods and approaches. Distraction from the use of electronic devices, such as smartphones for texting or talking on the phone, is one of the leading causes of vehicle accidents.
Efi Papatheocharous +3 more
doaj +1 more source
Road traffic injuries and fatalities among drivers distracted by mobile devices
Context: With increasing ownership of mobile devices (i.e., cell phones and smartphones), it is important to better understand the role of these devices in motor vehicle collision (MVC)-related trauma.
Natasa Zatezalo +2 more
doaj +1 more source
Exploring Monitoring Systems Data for Driver Distraction and Drowsiness Research
Driver inattention is a major contributor to road crashes. The emerging of new driver monitoring systems represents an opportunity for researchers to explore new data sources to understand driver inattention, even if the technology was not developed with
António Lobo +2 more
doaj +1 more source
Smart driving aids and their effects on driving performance and driver distraction [PDF]
In-vehicle information systems have been shown to increase driver workload and cause distraction; both of which are causal factors for accidents. This simulator study evaluates the impact that two designs for a smart driving aid, and scenario complexity ...
Young, Mark S. +3 more
core
From Attention to Distraction: Driver State Analysis From an Engineering Perspective – A Review
This paper reviews methods for defining, assessing, measuring, and testing driver distraction. It aims to exceed existing literature by integrating insights from interdisciplinary research fields, including engineering, psychology, medicine, and computer
Lorenzo Uccello +3 more
doaj +1 more source
Memory and Resting‐State Connectivity in Acute Transient Global Amnesia: A Case–Control fMRI Study
ABSTRACT Background and Objectives Transient global amnesia (TGA) is a striking model of isolated amnesia. While hippocampal lesions are well described, the network‐level mechanisms and the precise neuropsychological profile remain debated. Our objective was thus to characterize functional and neuropsychological correlates of acute TGA and their ...
Elias El Otmani +10 more
wiley +1 more source
MELD3: Integrating Multi-Task Ensemble Learning for Driver Distraction Detection
Detecting and alerting distracted drivers is crucial to prevent traffic accidents. Although numerous studies have been proposed that use deep learning methods to detect driver distraction, most of these approaches rely on single-perspective images, which
Gokhan Azizoglu, Ahmet Nusret Toprak
doaj +1 more source
Lightweight Driver Monitoring System Based on Multi-Task Mobilenets
Research on driver status recognition has been actively conducted to reduce fatal crashes caused by the driver’s distraction and drowsiness. As in many other research areas, deep-learning-based algorithms are showing excellent performance for ...
Whui Kim, Woo-Sung Jung, Hyun Kyun Choi
doaj +1 more source
Objective Although the definition of a gout flare is well established, the state of gout flare resolution has not yet been defined. This study aimed to explore patients’ experiences and perceptions of gout flare resolution. Methods Semistructured interviews were conducted with 24 people with gout, guided by open‐ended questions exploring their ...
Sarah Stewart +5 more
wiley +1 more source
Studying the effects of in-vehicle information systems on driver visual behaviour – implications for design [PDF]
In-vehicle information systems (IVIS) are a common feature in modern vehicles. The interaction of drivers with IVIS when driving must be considered to minimise distraction whilst maintaining the benefits provided.
Welsh, Ruth +4 more
core

