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Fatigue in sarcoidosis: Detection and treatment
Srpski arhiv za celokupno lekarstvo, 2012 Fatigue is a prominent symptom in a large number of medical conditions, malignant and infectious diseases. Fatigue is also a prominent symptom of sarcoidosis. The occurrence of fatigue in sarcoidosis is well known but exact incidence has not been established and varies from 30-70% of patients depending on age, sex and organ involvement by ...
Vučinić Violeta +8 more
openaire +3 more sources
A Low-Cost Prototype for Driver Fatigue Detection
Multimodal Technologies and Interaction, 2019 Driver fatigue and inattention accounts for up to 20% of all traffic accidents, therefore any system that can warn the driver whenever fatigue occurs proves to be useful.
Tiago Meireles, Fábio Dantas
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A Review on Fatigue Detection and Management for Air Traffic Controllers
Hangkong gongcheng jinzhan, 2021 The civil aviation development of China relies on both the independent research of large transport aircraft and efficient air traffic management system. As the core part of ATC(air traffic control),the fatigue detection and management of ATCs(air traffic
SHEN Zhiyuan +3 more
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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
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Review of Research on Fatigue Driving Detection Based on Driver Facial Features [PDF]
Jisuanji kexue yu tansuo, 2023 Fatigue driving is one of the main factors that threaten the safety of drivers and traffic. Efficient and accurate fatigue driving detection method can effectively ensure the safety of drivers and their surrounding traffic, maintain traffic order, and ...
YANG Yanyan, LI Leixiao, LIN Hao
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Convolutional Two-Stream Network Using Multi-Facial Feature Fusion for Driver Fatigue Detection
Future Internet, 2019 Road traffic accidents caused by fatigue driving are common causes of human casualties. In this paper, we present a driver fatigue detection algorithm using two-stream network models with multi-facial features.
Weihuang Liu +4 more
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IEEE Access, 2023 Fatigue detection has many applications, one of them is intelligent transportation for accident prevention. It is challenging to detect driver fatigue adopting photometric stereo and 3D fatigue-related facial action unit identification.
Gulbadan Sikander +4 more
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Driver Fatigue and Distracted Driving Detection Using Random Forest and Convolutional Neural Network
Applied Sciences, 2022 Driver fatigue and distracted driving are the two most common causes of major accidents. Thus, the on-board monitoring of driving behaviors is key in the development of intelligent vehicles.
Bing-Ting Dong +2 more
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A Survey on State-of-the-Art Drowsiness Detection Techniques
IEEE Access, 2019 Drowsiness or fatigue is a major cause of road accidents and has significant implications for road safety. Several deadly accidents can be prevented if the drowsy drivers are warned in time.
Muhammad Ramzan +5 more
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SensorsAs brain–computer interface (BCI) technology continues to advance, research on human brain function has gradually transitioned from theoretical investigation to practical engineering applications.
Meihong Zhang +7 more
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