Results 21 to 30 of about 100,447 (280)
Evaluating driver drowsiness countermeasures [PDF]
Traffic Injury Prevention, 2017 Driver drowsiness contributes to a substantial number of fatal and nonfatal crashes, with recent estimates attributing up to 21% of fatal crashes to drowsiness. This article describes recent NHTSA research on in-vehicle drowsiness countermeasures. Recent advances in technology and state detection algorithms have shown success in detecting drowsiness ...
John G, Gaspar +5 more
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Portable Drowsiness Detection through Use of a Prefrontal Single-Channel Electroencephalogram
Sensors, 2018 Drowsiness detection has been studied in the context of evaluating products, assessing driver alertness, and managing office environments. Drowsiness level can be readily detected through measurement of human brain activity. The electroencephalogram (EEG)
Mikito Ogino, Yasue Mitsukura
doaj +1 more source
Exploring Monitoring Systems Data for Driver Distraction and Drowsiness Research
Sensors, 2020 Driver inattention is a major contributor to road crashes. The emerging of new driver monitoring systems represents an opportunity for researchers to explore new data sources to understand driver inattention, even if the technology was not developed with
António Lobo +2 more
doaj +1 more source
Driver Drowsiness Detection System [PDF]
, 2016 In recent years’ driver fatigue is one of the major causes of vehicle accidents in the world. A direct way of measuring driver fatigue is measuring the state of the driver i.e. drowsiness. So it is very important to detect the drowsiness of the driver to
Sahoo, Chandraprakash
core +1 more source
EEG-Based User Reaction Time Estimation Using Riemannian Geometry Features [PDF]
, 2017 Riemannian geometry has been successfully used in many brain-computer interface (BCI) classification problems and demonstrated superior performance. In this paper, for the first time, it is applied to BCI regression problems, an important category of BCI
Gordon, Stephen +5 more
core +1 more source
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
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PLoS ONE, 2023 Driver drowsiness is a widely recognized cause of motor vehicle accidents. Therefore, a reduction in drowsy driving crashes is required. Many studies evaluating the crash risk of drowsy driving and developing drowsiness detection systems, have used ...
Yuji Uchiyama +7 more
doaj +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
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
Odhad únavy člověka: využitelnost systémů dopravy ve vnitřním prostředí [PDF]
, 2018 Fatigue monitoring is nowadays domain in traffic and transportation (e.g. system for driver's sleepness monitoring in cars or in trains). People working in offices are affected by fatigue too, but there is no general system that is able to monitor it ...
Kohout, Jan, Mareš, Jan
core +1 more source