Results 111 to 120 of about 3,208 (258)

Real-Time Drivers’ Drowsiness Detection: A Deep Learning Approach [PDF]

ANK Zaman, Prosenjit Chatterjee, Rajat Sharma   +2 more
openalex   +1 more source

The Ecology of Human Sleep (EcoSleep) Cohort Study: Protocol for a longitudinal repeated measurement burst design study to assess the relationship between sleep determinants and outcomes under real‐world conditions across time of year

Journal of Sleep Research, Volume 34, Issue 2, April 2025.
Summary The interplay of daily life factors, including mood, physical activity, or light exposure, influences sleep architecture and quality. Laboratory‐based studies often isolate these determinants to establish causality, thereby sacrificing ecological validity.
Anna M. Biller, Nayab Fatima, Chrysanth Hamberger, Laura Hainke, Verena Plankl, Amna Nadeem, Achim Kramer, Martin Hecht, Manuel Spitschan   +8 more
wiley   +1 more source

Automatic Driver Drowsiness Detection Using Artificial Neural Network Based on Visual Facial Descriptors: Pilot Study. [PDF]

Nat Sci Sleep, 2022
Inkeaw P, Srikummoon P, Chaijaruwanich J, Traisathit P, Awiphan S, Inchai J, Worasuthaneewan R, Theerakittikul T.   +7 more
europepmc   +1 more source

Driver Drowsiness Detection using Microservices and Convolutional Neural Network

, 2020
Shrut Shah
openalex   +1 more source

Chronic insomnia, REM sleep instability and emotional dysregulation: A pathway to anxiety and depression?

Journal of Sleep Research, Volume 34, Issue 2, April 2025.
Summary The world‐wide prevalence of insomnia disorder reaches up to 10% of the adult population. Women are more often afflicted than men, and insomnia disorder is a risk factor for somatic and mental illness, especially depression and anxiety disorders.
Dieter Riemann, Raphael J. Dressle, Fee Benz, Kai Spiegelhalder, Anna F. Johann, Christoph Nissen, Elisabeth Hertenstein, Chiara Baglioni, Laura Palagini, Lukas Krone, Michael L. Perlis, Katharina Domschke, Mathias Berger, Bernd Feige   +13 more
wiley   +1 more source

Development of sleepiness in professional truck drivers: Real‐road testing for driver drowsiness and attention warning (DDAW) system evaluation

Journal of Sleep Research, Volume 34, Issue 2, April 2025.
Summary All new vehicle types within the European Union must now be equipped with a driver drowsiness and attention warning system starting from 2022. The specific requirements for the test procedure necessary for type approval are defined in the Annex of EU Regulation C/2021/2639.
Christer Ahlström, Anna Anund
wiley   +1 more source

An effective approach for real-time drowsy driving prediction using quantized fisher-Gabor features and latent-dynamic conditional random fields

Frontiers in Computer Science
Driver drowsiness or fatigue is among the most important factors that cause traffic accidents; therefore, a monitoring system is necessary to detect the state of a driver drowsiness or fatigue.
Samy Bakheet, Ayoub Al-Hamadi, Abed Alanazi   +2 more
doaj   +1 more source

A Framework for Instantaneous Driver Drowsiness Detection Based on Improved HOG Features and Naïve Bayesian Classification. [PDF]

Brain Sci, 2021
Bakheet S, Al-Hamadi A.
europepmc   +1 more source

Early sleep apnea treatment in stroke (eSATIS) – a multicentre, randomised controlled, rater‐blinded, clinical trial: The association of post‐stroke cognition with sleep‐disordered breathing and its treatment

Journal of Sleep Research, Volume 34, Issue 2, April 2025.
Summary Sleep‐disordered breathing (SDB) is linked to cognitive dysfunction. Although SDB is common in stroke patients, the impact of SDB and its early treatment on cognitive functioning after stroke remains poorly investigated. Therefore, we explored the association between SDB and post‐stroke cognitive functioning, including the impact of early SDB ...
Irina Filchenko, Simone B. Duss, Saskia Salzmann, Anne‐Kathrin Brill, Lyudmila Korostovtseva, Valeria Amelina, Sébastien Baillieul, Corrado Bernasconi, Markus H. Schmidt, Claudio L. A. Bassetti   +9 more
wiley   +1 more source

Vehicle driver drowsiness detection method using wearable EEG based on convolution neural network. [PDF]

Neural Comput Appl, 2021
Zhu M, Chen J, Li H, Liang F, Han L, Zhang Z.   +5 more
europepmc   +1 more source