Results 71 to 80 of about 51,424 (265)
Engineering ProceedingsDrowsiness driving poses a significant risk to road safety, necessitating effective drowsiness detection models. Most of the prior research has primarily relied on composite facial-based features, mainly focusing on the mouth and/or eye states, to ...
Lawan Yusuf +3 more
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Developing an EEG based On-line Closed-loop Lapse Detection and Mitigation System
Frontiers in Neuroscience, 2014 In America, sixty percent of adults reported that they have driven a motor vehicle while feeling drowsy, and at least 15-20% of fatal car accidents are fatigue-related.
Yu-Te eWang +12 more
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 +2 more
doaj +1 more source
The Effectiveness of a Drowsiness Detection System in Reducing Drowsy Driving Accidents
International Journal for Research in Applied Science and Engineering Technology, 2023 Abstract: The identification of drowsiness is critical for human-computer interaction and transportation safety. We present a unique approach that combines physiological and behavioural markers to identify drowsiness in real time. A camera, an electroencephalogram (EEG), and a body-worn accelerometer are all part of our system.
openaire +1 more source
Exploring the efficacy and safety of perampanel in epilepsia partialis continua: A case series
Epileptic Disorders, EarlyView.Abstract Background Epilepsia partialis continua (EPC) is a form of focal motor status epilepticus (SE), which is commonly drug‐resistant requiring treatment with multiple antiseizure medications (ASM). There are no established guidelines for pharmacological management.
Setareh Lahsaee +3 more
wiley +1 more source
Epileptic Disorders, EarlyView.Abstract The 15q11.2 microdeletion is a chromosomal condition associated with a broad epileptic phenotype. It is differentiated from Angelman syndrome, which is typically a larger maternal deletion in an overlapping area. We describe a patient with a 15q11.2 microdeletion that has clinical and EEG biomarker features similar to those seen in Angelman ...
Hok Leong Chin +2 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
Epileptic Disorders, EarlyView.Abstract Objective The postictal state is a major yet underrecognized component of the epilepsy burden. We aimed to develop a structured patient‐reported instrument to quantify postictal recovery, characterize its multidimensional burden, and identify demographic, clinical, psychiatric, and treatment‐related factors associated with postictal severity ...
Ionuț‐Flavius Bratu +2 more
wiley +1 more source
Estimating Driving Performance Based on EEG Spectrum Analysis
EURASIP Journal on Advances in Signal Processing, 2005 The growing number of traffic accidents in recent years has become a serious concern to society. Accidents caused by driver's drowsiness behind the steering wheel have a high fatality rate because of the marked decline in the driver's abilities of ...
Jung Tzyy-Ping +4 more
doaj +1 more source