Results 11 to 20 of about 31,323 (271)
Real-time driver drowsiness detection using transformer architectures: a novel deep learning approach [PDF]
Scientific ReportsDriver drowsiness is a leading cause of road accidents, resulting in significant societal, economic, and emotional losses. This paper introduces a novel and robust deep learning-based framework for real-time driver drowsiness detection, leveraging state ...
Osama F. Hassan +4 more
doaj +2 more sources
EEG Signal Multichannel Frequency-Domain Ratio Indices for Drowsiness Detection Based on Multicriteria Optimization [PDF]
Sensors, 2021 Drowsiness is a risk to human lives in many occupations and activities where full awareness is essential for the safe operation of systems and vehicles, such as driving a car or flying an airplane.
Igor Stancin +3 more
doaj +2 more sources
Non-Invasive Driver Drowsiness Detection System [PDF]
Sensors, 2021 Drowsiness when in command of a vehicle leads to a decline in cognitive performance that affects driver behavior, potentially causing accidents. Drowsiness-related road accidents lead to severe trauma, economic consequences, impact on others, physical ...
Hafeez Ur Rehman Siddiqui +6 more
doaj +2 more sources
A Real-Time Embedded System for Driver Drowsiness Detection Based on Visual Analysis of the Eyes and Mouth Using Convolutional Neural Network and Mouth Aspect Ratio [PDF]
SensorsCurrently, the number of vehicles in circulation continues to increase steadily, leading to a parallel increase in vehicular accidents. Among the many causes of these accidents, human factors such as driver drowsiness play a fundamental role.
Ruben Florez +4 more
doaj +2 more sources
Exploiting heart rate variability for driver drowsiness detection using wearable sensors and machine learning [PDF]
Scientific ReportsDriver drowsiness is a critical issue in transportation systems and a leading cause of traffic accidents. Common factors contributing to accidents include intoxicated driving, fatigue, and sleep deprivation.
Zakwan AlArnaout +4 more
doaj +2 more sources
Driver drowsiness detection system
International Journal of Science and Research ArchiveIn contemporary times, the escalating incidence of accidents attributable to drowsy driving presents a formidable challenge. Acknowledging the pivotal role of driver fatigue and intermittent inattention in these occurrences, this research endeavors to optimize efforts towards the real-time identification of drowsiness in drivers under authentic driving
null Shiv Shagoti +3 more
+8 more sources
Drowsiness Detection Application
International Journal of Advanced Research in Science, Communication and Technology, 2022 Every year, hundreds of people die in car accidents around the world, with the primary cause being driver inattention. A sleepiness detection system will aid in the reduction of this accident and the saving of countless lives all around the world.
null Drowsiness Detection Application +3 more
openaire +1 more source
Journal of Advanced Transportation, 2021 Contributions of measurements for detecting drowsy driving are determined by calculation parameters, which are directly related to the accuracy of drowsiness detection.
Yifan Sun +5 more
doaj +1 more source
Information on Drivers’ Sex Improves EEG-Based Drowsiness Detection Model
Applied Sciences, 2022 Objective detection of a driver’s drowsiness is important for improving driving safety, and the most prominent indicator of drowsiness is changes in electroencephalographic (EEG) activity.
Igor Stancin +4 more
doaj +1 more source
Toward Applicable EEG-Based Drowsiness Detection Systems: A Review
Frontiers in Biomedical Technologies, 2022 Purpose: Drowsy driving accounts for many accidents and has attracted substantial research attention in recent years. Electroencephalography (EEG) signals are shown to be a reliable measure for the early detection of drowsiness.
Nasrin Sheibani Asl +3 more
doaj +1 more source