Results 91 to 100 of about 1,158 (175)
, 2018 Runtime uncertainty such as unpredictable resource unavailability, changing environmental conditions and user needs, as well as system intrusions or faults represents one of the main current challenges of self-adaptive systems.
Damian, D. +5 more
core +1 more source
A Method of Fatigue Driving State Detection Based on Deep Learning
Kongzhi Yu Xinxi Jishu, 2018 Current domestic and overseas fatigue recognition algorithms are implemented using fatigue features which are mostly singular and man-made. Most of those algorithms have complex structure, low efficiency and weak adaptability in face of driver’s ...
XIONG Qunfang, LIN Jun, YUE Wei
doaj
Factors Affecting Control Room Operator Situation Awareness and ITS Fuzzy Logic Model [PDF]
The rapid development of computer-human interface in process industries control systems challenged control room operator (CRO) to maintain their situation awareness (SA) at the high alert level.
Asrol, Muhammad +2 more
core +2 more sources
Driver monitoring system based on eye tracking [PDF]
, 2016 Dissertação de mestrado integrado em Engenharia Electrónica Industrial e ComputadoresRecent statistics indicate that driver drowsiness is one of the major causes of road accidents and deaths behind the wheel.
Cruz, Diogo Manuel Ferreira da
core
Studying Drowsiness Detection Performance While Driving Through Scalable Machine Learning Models Using Electroencephalography [PDF]
Driver drowsiness is a significant concern and one of the leading causes of traffic accidents. Advances in cognitive neuroscience and computer science have enabled the detection of drivers’ drowsiness using Brain-Computer Interfaces (BCIs) and Machine ...
Hidalgo Rogel, José Manuel +5 more
core +1 more source
Journal of Physics: Conference Series, 2019 Abstract Driver inattention and drowsiness are part causes of road accidents in Malaysia. Based on statistics from the Royal Malaysian Police (2016), deaths from road accidents amount is 7, 512 in 2016 compared to 6, 706 in 2015, which is the highest number of deaths recorded.
Anis Hazirah Rodzi +2 more
openaire +1 more source
Optical Flow and Driver’s Kinematics Analysis for State of Alert Sensing
Sensors, 2013 Road accident statistics from different countries show that a significant number of accidents occur due to driver’s fatigue and lack of awareness to traffic conditions.
Miguel Torres-Torriti +1 more
doaj +1 more source
ComputersIn distance learning environments, learner engagement directly impacts attention, motivation, and academic performance. Signs of fatigue, negative affect, or critical remarks can warn of growing disengagement and potential dropout. However, most existing
Qamar El Maazouzi, Asmaa Retbi
doaj +1 more source
, 2015 The alertness level of drivers can be estimated with the use of computer vision based methods. The level of fatigue can be found from the value of PERCLOS. It is the ratio of closed eye frames to the total frames processed. The main objective of the thesis is the design and implementation of real-time algorithms for measurement of PERCLOS. In this work
George, Anjith, Routray, Aurobinda
openaire +2 more sources
Scaling effectivity in manifold methodologies to detect driver’s fatigueness and drowsiness state [PDF]
The state of fatigueness and drowsiness relates to the stressed physical and mental condition of a driver that reduces the ability of a driver to drive safely leading to fatal consequences of road accidents.
Prashant, Jyothi Arcot +1 more
core +2 more sources