Results 41 to 50 of about 31,323 (271)
Monitoring System of Drowsiness and Lost Focused Driver Using Raspberry Pi
Iranian Journal of Public Health, 2020 Background: Drowsiness condition is one of the significant factors often encountered when an accident occurs. We aimed to detect a method to prevent accidents caused by drowsiness and lost a focused driver.
Kusworo ADI +3 more
doaj +1 more source
Drowsiness detection system using eye aspect ratio technique [PDF]
, 2020 Transportation is widely used to allow user travel conveniently from place to place, for a personal of official purpose. Travel during peak hour or holiday, expose the driver to traffic jam for several hour, thus cause the drive to feel drowsy easily due
Ameen, Hussein Ali +5 more
core +1 more source
Mining Frequency of Drug Side Effects Over a Large Twitter Dataset Using Apache Spark [PDF]
, 2017 Despite clinical trials by pharmaceutical companies as well as current FDA reporting systems, there are still drug side effects that have not been caught. To find a larger sample of reports, a possible way is to mine online social media. With its current
Hsu, Dennis
core +3 more sources
Detection of Drowsiness among Drivers Using Novel Deep Convolutional Neural Network Model
Sensors, 2023 Detecting drowsiness among drivers is critical for ensuring road safety and preventing accidents caused by drowsy or fatigued driving. Research on yawn detection among drivers has great significance in improving traffic safety.
Fiaz Majeed +4 more
doaj +1 more source
Learning to Estimate Driver Drowsiness from Car Acceleration Sensors using Weakly Labeled Data
, 2020 This paper addresses the learning task of estimating driver drowsiness from the signals of car acceleration sensors. Since even drivers themselves cannot perceive their own drowsiness in a timely manner unless they use burdensome invasive sensors ...
Katsuki, Takayuki +2 more
core +1 more source
A systematic review on detection and prediction of driver drowsiness
Transportation Research Interdisciplinary Perspectives, 2023 Driver drowsiness has emerged as one of the key factors in recent times' traffic accidents, which can result in fatalities, serious physical losses, large monetary losses, and significant property damage.
Md. Ebrahim Shaik
doaj +1 more source
Video surveillance for monitoring driver's fatigue and distraction [PDF]
, 2012 Fatigue and distraction effects in drivers represent a great risk for road safety. For both types of driver behavior problems, image analysis of eyes, mouth and head movements gives valuable information.
Grisales, Victor +5 more
core +2 more sources
Data fusion for driver drowsiness recognition: A multimodal perspective
Egyptian Informatics JournalDrowsiness is characterized by decreased alertness and an increased inclination to fall asleep, typically from factors such as fatigue, sleep deprivation, or other related influences.
S. Priyanka +3 more
doaj +1 more source
Driver drowsiness detection based on respiratory signal analysis [PDF]
, 2019 Drowsy driving is a prevalent and serious public health issue that deserves attention. Recent studies estimate around 20% of car crashes have been caused by drowsy drivers.
Fernández Chimeno, Mireya +3 more
core +2 more sources
International Journal of Advanced Research in Science, Communication and TechnologyAbstract: Drowsiness while driving or operating machinery is a major cause of accidents worldwide. The Drowsiness Detection System monitors real-time indicators of fatigue using sensors and computer vision algorithms. Early detection of drowsiness allows timely alerts to the driver, improving road safety and reducing accident risk.
null Sanket Badave +4 more
openaire +2 more sources