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EEG-based Driver Fatigue Detection
2013 Sixth International Conference on Developments in eSystems Engineering, 2013Fatigue is a gradual process leads to a slower reaction time. Fatigue is the major cause of road accidents around the globe. This paper proposes, implements and tests a system to detect fatigue based on Electroencephalogram (EEG) signal. The system produces fatigue index which is relevant to the level of subject's drowsiness. The input to the system is
Hamzah S. AlZu'bi +2 more
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Research on driver fatigue detection
MIPPR 2017: Pattern Recognition and Computer Vision, 2018Driver fatigue is one of the main causes of frequent traffic accidents. In this case, driver fatigue detection system has very important significance in avoiding traffic accidents. This paper presents a real-time method based on fusion of multiple facial features, including eye closure, yawn and head movement.
Chao Ouyang, Zhong Chen, Ting Zhang
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Driver Fatigue Detection Control System
2018 37th Chinese Control Conference (CCC), 2018In order to realize automatic on-line monitoring of driver fatigue state, four modules are mainly included in this system, which are image capture module, image preprocessing module, feature detection and extraction module and feature classification recognition module.
Fan Dachuan, Tang Xinxing
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RFID-Based Driving Fatigue Detection
2019 IEEE Global Communications Conference (GLOBECOM), 2019With the growth of the number of vehicles and car accidents, driving safety is becoming increasingly important. There is a compelling need for an effective, low-cost driving fatigue detection system. In this paper, we propose an RFID based system, termed NodTrack, to detect the nodding movements of drivers, which is a key indicator of fatigue and one ...
Chao Yang, Xuyu Wang, Shiwen Mao
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“Calorimetric detection of fatigue localization zones”
2004The aim of the paper is the calorimetric detection of fatigue localization zones for an aluminium alloy starting from the thermal images provided by an infrared camera. By means of a local expression of the heat equation and a specific data processing the dissipative and coupling sources accompanying the fatigue test were separately estimated.
MORABITO, Anna +3 more
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Vision based cognitive fatigue detection
2017Analyzing human activity is a basic component of any system, be it biological or artificial, that aims to predict future behavior. Tracking and recognizing voluntary and involuntary action traits are basic endeavors for artificial vision systems that aim to predict cognitive fatigue, a major cause for road and workplace accidents.
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YOLOv5-based Fatigued Driving Detection
2023 IEEE International Conference on Sensors, Electronics and Computer Engineering (ICSECE), 2023openaire +1 more source