Results 91 to 100 of about 31,323 (271)

Bias Remediation in Driver Drowsiness Detection Systems Using Generative Adversarial Networks

open access: yesIEEE Access, 2020
Datasets are crucial when training a deep neural network. When datasets are unrepresentative, trained models are prone to bias because they are unable to generalise to real world settings.
Mkhuseli Ngxande   +2 more
doaj   +1 more source

Benchmarking of a software stack for autonomous racing against a professional human race driver

open access: yes, 2020
The way to full autonomy of public road vehicles requires the step-by-step replacement of the human driver, with the ultimate goal of replacing the driver completely.
Betz, Johannes   +2 more
core   +1 more source

Baseline characteristics and feasibility of clinical outcome measures in CDKL5 deficiency disorder: The CANDID observational study

open access: yesEpilepsia, 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

Joint Driver State Classification Approach: Face Classification Model Development and Facial Feature Analysis Improvement

open access: yesSensors
Driver drowsiness remains a critical factor in road safety, necessitating the development of robust detection methodologies. This study presents a dual-framework approach that integrates a convolutional neural network (CNN) and a facial landmark analysis
Farkhod Akhmedov   +3 more
doaj   +1 more source

DEVELOPMENT OF ANTI DROWSINESS AND ALERT SYSTEM FOR AUTOMOBILE DRIVERS [PDF]

open access: yesProceedings on Engineering Sciences
Drowsy Driving has been one of the leading causes of traffic and road accidents. According to the National Safety Council (2021), sleepy driving causes 100,000 collisions and 71,0 injuries, including 1,550 deaths per year.
Nastaran Reza Nazar Zadeh   +5 more
doaj   +1 more source

Functionality of symptoms and interpersonal communication in home video recordings of functional/dissociative versus epileptic seizures

open access: yesEpilepsia, 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

Fast cycle of vagus nerve stimulation is associated with increased sleep‐related breathing disorder in patients with epilepsy

open access: yesEpilepsia, EarlyView.
Abstract Objective This work was undertaken to study the association between vagus nerve stimulation (VNS) parameters and the apnea–hypopnea index (AHI) measured by polysomnography in patients with drug‐resistant epilepsy. Methods Patients with epilepsy who underwent polysomnography with an active VNS device between 2018 and 2023 were retrospectively ...
Jacques‐François Massa   +8 more
wiley   +1 more source

KCNJ4 variants disrupt inward‐rectifier potassium channel function and cause refractory epilepsy

open access: yesEpilepsia, EarlyView.
Abstract Objective Epilepsy is a common neurological disorder with a strong genetic basis, most frequently arising from ion channel dysfunction. Although multiple inwardly rectifying potassium (Kir) channels have been implicated in epileptogenesis, the contribution of KCNJ4, which encodes the Kir2.3 channel, has not previously been established in human
Hu Pan   +20 more
wiley   +1 more source

An Improved Algorithm for Eye Corner Detection

open access: yes, 2016
In this paper, a modified algorithm for the detection of nasal and temporal eye corners is presented. The algorithm is a modification of the Santos and Proenka Method.
Dasgupta, Anirban   +3 more
core   +1 more source

Focal seizures during simulated driving: A pilot study

open access: yesEpilepsia, EarlyView.
Abstract Cars are increasingly equipped with technology that can be used to analyze driver behavior and alertness, often referred to as driver monitoring systems (DMS). Although initially mainly used to track drivers' attention, DMS are now expanding in the hope of detecting additional forms of driver impairment that may jeopardize driving, such as ...
Emma Nilsson   +4 more
wiley   +1 more source

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