Results 31 to 40 of about 109,274 (257)

The Impact of Cognition and Gender on Speeding Behaviour in Older Drivers with and without Suspected Mild Cognitive Impairment

Clinical Interventions in Aging, 2021
Ying Ru Feng,1 Lynn Meuleners,1 Mark Stevenson,2,3 Jane Heyworth,4 Kevin Murray,4 Michelle Fraser,1 Sean Maher5 1Western Australian Centre for Road Safety Research, School of Population and Global Health, The University of Western Australia, Perth, WA ...
Feng YR, Meuleners L, Stevenson M, Heyworth J, Murray K, Fraser M, Maher S   +6 more
doaj  

Instances of Failures, Maintenance, and Repair in Smart Driving

Tecnoscienza, 2016
The paper focuses on technology designers’ representations and discourses about advanced driving assistance systems (ADAS). This issue has been empirically explored by means of seven in-depth interviews with academic experts in intelligent transportation
Oana Stefana Mitrea
doaj   +1 more source

Ground Truth Data Generator for Eye Location on Infrared Driver Recordings

Journal of Imaging, 2021
Labeling is a very costly and time consuming process that aims to generate datasets for training neural networks in several functionalities and projects.
Sorin Valcan, Mihail Gaianu
doaj   +1 more source

Multi-Timescale Drowsiness Characterization Based on a Video of a Driver’s Face

Sensors, 2018
Drowsiness is a major cause of fatal accidents, in particular in transportation. It is therefore crucial to develop automatic, real-time drowsiness characterization systems designed to issue accurate and timely warnings of drowsiness to the driver.
Quentin Massoz, Jacques G. Verly, Marc Van Droogenbroeck   +2 more
doaj   +1 more source

Classification of Drivers’ Mental Workload Levels: Comparison of Machine Learning Methods Based on ECG and Infrared Thermal Signals

Sensors, 2022
Mental workload (MW) represents the amount of brain resources required to perform concurrent tasks. The evaluation of MW is of paramount importance for Advanced Driver-Assistance Systems, given its correlation with traffic accidents risk.
Daniela Cardone, David Perpetuini, Chiara Filippini, Lorenza Mancini, Sergio Nocco, Michele Tritto, Sergio Rinella, Alberto Giacobbe, Giorgio Fallica, Fabrizio Ricci, Sabina Gallina, Arcangelo Merla   +11 more
doaj   +1 more source

Multi-sensor driver drowsiness monitoring [PDF]

Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering, 2008
A system for driver drowsiness monitoring is proposed, using multi-sensor data acquisition and investigating two decision-making algorithms, namely a fuzzy inference system (FIS) and an artificial neural network (ANN), to predict the drowsiness level of the driver. Drowsiness indicator signals are selected allowing non-intrusive measurements.
P Boyraz, M Acar, D Kerr
openaire   +1 more source

Enhancing Road Safety: Fast and Accurate Noncontact Driver HRV Detection Based on Huber–Kalman and Autocorrelation Algorithms

Biomimetics
Enhancing road safety by monitoring a driver’s physical condition is critical in both conventional and autonomous driving contexts. Our research focuses on a wireless intelligent sensor system that utilizes millimeter-wave (mmWave) radar to monitor heart
Yunlong Luo, Yang Yang, Yanbo Ma, Runhe Huang, Alex Qi, Muxin Ma, Yihong Qi   +6 more
doaj   +1 more source

European Standard Clinical Practice Guideline and EXPeRT Recommendations for the Diagnosis and Management of Gastroenteropancreatic Neuroendocrine Neoplasms in Children and Adolescents

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Pediatric gastroenteropancreatic neuroendocrine neoplasms (GEP‐NENs) are extremely rare and clinically heterogeneous. Management has largely been extrapolated from adult practice. This European Standard Clinical Practice Guideline (ESCP), developed by the EXPeRT network in collaboration with adult NEN experts, provides (adult) evidence ...
Michaela Kuhlen, Calogero Virgone, Antje Redlich, Michael Abele, Ricardo Lopez‐Almaraz, Tal Ben‐Ami, Ewa Bien, Gianni Bisogno, Maja Mazic Cesen, Andrea Ferrari, Malgorzata A. Krawczyk, Yves Reguerre, Dominik T. Schneider, Ines B. Brecht, Charlotte Rigaud, Bilgehan Yalcin, Rainer Claus, Christian Vokuhl, Constantin Lapa, Jörg Fuchs, Segolene Hescot, Thomas Walter, Julien Hadoux, Daniel Orbach   +23 more
wiley   +1 more source

Implementing Health‐Related Quality of Life Assessment in Pediatric Oncology: A Feasibility Study

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background There is growing interest in embedding health‐related quality of life (HRQoL) assessment and patient‐reported outcome measures (PROMs) within clinical cancer care. This study evaluated the feasibility, acceptability, and usability of implementing an electronic PROM (ePROM) platform to measure HRQoL in children with cancer ...
Mikaela Doig, Sophie Jessop, Jordan R. Hansford, Hien Le, Matthew O'Connor, Peter Gorayski, Andrew Cunningham, Amanda Hutchinson, Victoria Bedford, Eva Bezak, Nayana Parange, Kelly Skelton, Timothy Price, Michala Short   +13 more
wiley   +1 more source

Framework, Implementation, and User Experience Aspects of Driver Monitoring: A Systematic Review

Applied Sciences
Driver monitoring systems (DMS), advanced driver assistance ssystems (ADAs), and technologies for autonomous driving, along with other upcoming innovations, have been developed as possible solutions to minimize accidents resulting from human error.
Luis A. Salazar-Calderón, Sergio Alberto Navarro-Tuch, Javier Izquierdo-Reyes   +2 more
doaj   +1 more source