Results 101 to 110 of about 100,447 (280)
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 +2 more
doaj +1 more source
Extracting Blink Rate Variability from EEG Signals
, 2016 Generally, blinks are treated on equal with artifacts and noise while analyzing EEG signals. However, blinks carry important information about mental processes and thus it is important to detect blinks accurately.
Artem Lenskiy +4 more
core +1 more source
Epilepsia, EarlyView.Abstract Objective CDKL5 deficiency disorder (CDD) is a rare X‐linked developmental and epileptic encephalopathy caused by loss‐of‐function variants in the CDKL5 gene. Preclinical experiments using enzyme replacement or gene therapies show promise and could be transformative therapies.
Xavier Liogier d'Ardhuy +8 more
wiley +1 more source
, 2009 A hybrid system for detecting driver drowsiness was examined by using piezofilm movement sensors integrated into the car seat, seat belt and steering wheel.
Burton, David +4 more
core +1 more source
Freedon study: Real‐life outcomes of cenobamate in different lines of treatment
Epilepsia, EarlyView.Abstract Objectives Cenobamate is an antiseizure medication (ASM) with proven effectiveness in individuals with highly refractory epilepsy. This study investigated the effectiveness and tolerability of cenobamate in different treatment lines and a less refractory setting. Methods This was a multicenter, retrospective, observational study.
Vicente Villanueva +50 more
wiley +1 more source
Investigating the Relationship Between Subjective and Interpretive drowsiness With Lane Departure in Simulator Driving [PDF]
Health in Emergencies & Disasters QuarterlyBackground: Driver drowsiness is a significant factor contributing to road accidents and the overall increase in road mortality rates. This study investigates the relationship between lane crossing (LC), the number of lateral position deviations and ...
Ali Askari +9 more
doaj
Frontiers in Psychology, 2018 The most effective way of preventing motor vehicle accidents caused by drowsy driving is through a better understanding of drowsiness itself. Prior research on the detection of symptoms of drowsy driving has offered insights on providing drivers with ...
Atsuo Murata +2 more
doaj +1 more source
Prevention of overt motion sickness by incremental exposure to otherwise highly stressful Coriolis accelerations [PDF]
Preventing motion sickness by gradual increasing exposure to Coriolis ...
Colehour, J. K. +2 more
core +1 more source
Driver Drowsiness Shield (DDSH): A Real-time Driver Drowsiness Detection System
ROBOMECH JournalAbstract Detecting drowsiness is crucial for improving traffic safety and preventing fatigue-related accidents. This paper aims to develop an advanced real-time drowsiness detection system using deep learning algorithms. For this purpose, we utilized an eye image dataset from the MRL Eye Dataset and performed extensive feature engineering and ...
Archita Bhanja +4 more
openaire +2 more sources
Epilepsia, EarlyView.Abstract Objective Conceptualizing functional/dissociative seizures (FDS) as resulting from dissociation, or conversion, we hypothesized that, compared to epileptic seizures (ES), FDS should carry more symbolic or communicative content and that this would allow observers to distinguish FDS from ES.
Nayrin Dissouky +8 more
wiley +1 more source