Results 21 to 30 of about 51,424 (265)
IEEE Access, 2022 It has been reported that many crashes are caused by drowsiness. Thus, it is critical to predict the occurrence of severe drowsiness that may result in a crash by means of an effective measure.
Atsuo Murata +2 more
doaj +1 more source
Survey and Synthesis of State of the Art in Driver Monitoring
Sensors, 2021 Road vehicle accidents are mostly due to human errors, and many such accidents could be avoided by continuously monitoring the driver. Driver monitoring (DM) is a topic of growing interest in the automotive industry, and it will remain relevant for all ...
Anaïs Halin +2 more
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Event Camera-Based Eye Motion Analysis: A Survey
IEEE AccessNeuromorphic vision sensors, commonly referred to as Event Cameras (ECs), have gained prominence as a field of research in Computer Vision. This popularity stems from the numerous unique characteristics including High Dynamic Range, High Temporal ...
Khadija Iddrisu +5 more
doaj +1 more source
Trends and Future Prospects of the Drowsiness Detection and Estimation Technology
Sensors, 2021 Drowsiness is among the important factors that cause traffic accidents; therefore, a monitoring system is necessary to detect the state of a driver’s drowsiness.
Toshiya Arakawa
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Frontiers in Cellular and Infection Microbiology, 2022 Background and AimsEntacapone, one of the most common drugs distributed among patients with Parkinson’s disease, is a peripherally acting catechol-O-methyltransferase (COMT) inhibitor that is used in addition to levodopa to control symptoms.
Shih-Chen Fu +6 more
doaj +1 more source
Drowsiness Driving Detection, Prediction and Warning Drowsiness Detection
, 2022 Human drowsiness or fatigue required various approaches to be detected before or during the driving process. Nowadays, many people have managed to acquire personal vehicles which they use to travel around different regions. Arriving alive and on time is a crucial goal for all drivers en route.
Tawanda Mudawarima +1 more
openaire +1 more source
Facial Feature-Based Drowsiness Detection With Multi-Scale Convolutional Neural Network
IEEE Access, 2023 Recently, the upsurge in accidents is caused due to driver drowsiness arises due to lack of sleep, fatigue and other health factors. The drowsiness leads to mortality, loss of properties and serious health conditions.
V. Vijaypriya, Mohan Uma
doaj +1 more source
Early Impact of Childhood Opportunity on Neurocognitive Outcomes in Sickle Cell Disease
Pediatric Blood &Cancer, EarlyView.ABSTRACT Introduction Neurocognitive impairment is a well‐recognized complication of sickle cell disease (SCD) that begins early in childhood and persists across development. While cerebrovascular injury contributes substantially to risk, neurocognitive deficits are also observed in children without overt or silent cerebral infarctions, suggesting ...
Julia E. LaMotte +5 more
wiley +1 more source
GÖZ KIRPMA TESPİTİ İÇİN YENİ BİR UYARLAMALI EŞİK DEĞERİ ALGORİTMASI
Eskişehir Osmangazi Üniversitesi Mühendislik ve Mimarlık Fakültesi Dergisi, 2023 Uykululuk halinin önceden tespit edilmesi, uykululuğa bağlı trafik kazalarını önlemek, fiziksel ve ekonomik kayıpların önüne geçmek açısından önemlidir. Bir kamera yardımı ile kişilerin görüntüleri üzerinde görüntü işleme teknikleri uygulanarak uykululuk
Mert Süleyman Demirsoy +3 more
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Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Background and Purpose White matter hyperintensities (WMH) are a core neuroimaging marker of cerebral small vessel disease (CSVD). Sleep apnoea (SA) is a recognized vascular risk factor, but its associations with regional WMH burden, short‐interval WMH change and cognitive performance in population‐based cohorts remain incompletely defined. We
Peng Cheng +4 more
wiley +1 more source