Results 211 to 220 of about 163,027 (257)
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2021 2nd International Conference on Control, Robotics and Intelligent System, 2021
For some large and complex operating platforms in machinery factories, in order to detect fatigued workers in time, machine vision is adopted for fatigue detection. Normal camera cannot cover the entire working range. So come up with an idea to use an industrial computer to control the pan-tilt for face tracking and fatigue detection.
Ming-da Song +3 more
openaire +1 more source
For some large and complex operating platforms in machinery factories, in order to detect fatigued workers in time, machine vision is adopted for fatigue detection. Normal camera cannot cover the entire working range. So come up with an idea to use an industrial computer to control the pan-tilt for face tracking and fatigue detection.
Ming-da Song +3 more
openaire +1 more source
Fatigue detection based on non-contact respiratory detection
Thirteenth International Conference on Machine Vision, 2021Most of current methods for fatigue detection are based on fatigue features extracted from face or head. This paper proposes a novel fatigue detection mode based on non-contact respiratory detection. This paper proposes to use the respiratory rate feature for fatigue detection.
Xing Chen +4 more
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2020 IEEE 17th India Council International Conference (INDICON), 2020
Lately driver drowsiness is the many reasons for vehicle mishaps on the earth. A method of estimating drivers drowsiness is estimating the condition of the driver as an example tiredness. This methodology is totally non-intrusive which doesn't affect the driver in any way, giving the specific state of the driver.
Impana Girish +3 more
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Lately driver drowsiness is the many reasons for vehicle mishaps on the earth. A method of estimating drivers drowsiness is estimating the condition of the driver as an example tiredness. This methodology is totally non-intrusive which doesn't affect the driver in any way, giving the specific state of the driver.
Impana Girish +3 more
openaire +1 more source
Nonintrusive Driver Fatigue Detection
2008 IEEE International Conference on Networking, Sensing and Control, 2008Driver fatigue is an important factor in many transportation accidents. Therefore, detecting driver fatigue is extremely important to improving transportation safety. When a driver fatigues, he will take many special visual cues on his face. In this paper, we combine visual cues from mouths and eyes systematically which characterize eye closed and ...
Xiao Fan, Baocai Yin, Yanfeng Sun
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Driver fatigue detection system
2008 IEEE International Conference on Robotics and Biomimetics, 2009This paper presents a method for detecting the early signs of fatigue/drowsiness during driving. Analysing some biological and environmental variables, it is possible to detect the loss of alertness prior to the driver falling asleep. As a result of this analysis, the system will determine if the subject is able to drive.
Elena Rogado +4 more
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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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Robust eyelid tracking for fatigue detection
2012 19th IEEE International Conference on Image Processing, 2012We develop a non-intrusive system for monitoring fatigue by tracking eyelids with a single web camera. Tracking slow eyelid closures is one of the most reliable ways to monitor fatigue during critical performance tasks. The challenges come from arbitrary head movement, occlusion, reflection of glasses, motion blurs, etc.
Fei Yang 0001 +4 more
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An automated face reader for fatigue detection
Sixth IEEE International Conference on Automatic Face and Gesture Recognition, 2004. Proceedings., 2004An automated system for facial expression recognition is always desirable. However, it is a challenging issue due to the richness and ambiguities with daily facial expressions. This paper presents an efficient approach to recognition of facial expressions of interest.
Haisong Gu, Qiang Ji
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2005
Abstract : Military personnel are frequently required to perform tasks for which fatigue is a common problem. Lapses in alertness associated with fatigue are major contributors to human error. We have proposed to create a system that will use unobtrusively obtained bio-behavioral measures to detect such lapses in alertness and thus lower the incidence ...
Timothy B. Brown, John A. Stern
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Abstract : Military personnel are frequently required to perform tasks for which fatigue is a common problem. Lapses in alertness associated with fatigue are major contributors to human error. We have proposed to create a system that will use unobtrusively obtained bio-behavioral measures to detect such lapses in alertness and thus lower the incidence ...
Timothy B. Brown, John A. Stern
openaire +1 more source
2016
Driver fatigue detection is a term used to develop a nonintrusive system which can detect fatigue of the driver and issue a timely warning. The idea behind this project is to monitor the driver’s eyes using a camera in real time and to develop algorithm that can detect driver fatigue.
Abdullah, Muhamad Hafiz +6 more
openaire +2 more sources
Driver fatigue detection is a term used to develop a nonintrusive system which can detect fatigue of the driver and issue a timely warning. The idea behind this project is to monitor the driver’s eyes using a camera in real time and to develop algorithm that can detect driver fatigue.
Abdullah, Muhamad Hafiz +6 more
openaire +2 more sources

