Results 251 to 260 of about 56,380 (293)

Detection of Fatigue System of Driver

2023
Driver tiredness has been credited to collisions; subsequently, car crashes connected with faintness have a higher death rate and cause more harm to the climate contrasted with mishaps in which drivers are ready. As per the study the 34% accidents are mainly due to lack of sleep. A ton of work has been done to identify driver fatigue.
Somya, Sharma, Bagoria, Renu
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Review on Driver Fatigue Detection Technology

International Conference on Transportation Engineering 2007, 2007
Driver fatigue is widely regarded as a causal factor in many traffic accidents. Actually, fatigue is a complex psychophysiology phenomenon whose mechanism has not been explicitly explored. A variety of psychophysiology parameters have been used in previous researches as indicators of fatigue, among them, the electroencephalography (EEG) and ...
Xiu-jian Shi, Hong-wei Xie
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Driver fatigue surveillance via eye detection

17th International IEEE Conference on Intelligent Transportation Systems (ITSC), 2014
In this study, driver alertness and fatigue-related surveillance were measured by image processing techniques for detecting the driver's face and eyes in a frame. The image was acquired using an infrared-only camera that transforms human pupil into a distinct white circle; hence, the eyes are extracted more easily than those taken from a regular camera.
Tang-Hsien Chang, null Yi-Ru Chen
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Yawning Detection for Monitoring Driver Fatigue

2007 International Conference on Machine Learning and Cybernetics, 2007
Fatigue driving is an important reason of traffic accidents. Yawning is an evidence of driver fatigue. This paper proposes to locate and track a driver's mouth movement using a CCD camera to study on monitoring and recognizing a driver's yawning. Firstly detecting drivers' faces uses Gravity-Center template, then detecting drivers' left and right mouth
Xiao Fan, Bao-Cai Yin, Yan-Feng Sun
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Dynamic Features Based Driver Fatigue Detection

2008
Driver fatigue is an important reason for traffic accidents. To account for the temporal aspect of human fatigue, we propose a novel method based on dynamic features to detect fatigue from image sequences. First, global features are extracted from each image and concatenated into dynamic features.
Xiao Fan, Baocai Yin, Yanfeng Sun
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Driver Fatigue Detection Based on Eye Tracking

2008 First International Conference on Emerging Trends in Engineering and Technology, 2008
The international statistics shows that a large number of road accidents are caused by driver fatigue. Therefore, a system that can detect oncoming driver fatigue and issue timely warning could help in preventing many accidents, and consequently save money and reduce personal suffering.
Mandalapu Sarada Devi, Preeti R. Bajaj
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Eye-tracking for detection of driver fatigue

Proceedings of Conference on Intelligent Transportation Systems, 2002
In this paper, we describe a system that locates and tracks the eyes of a driver. The purpose of such a system is to perform detection of driver fatigue. By mounting a small camera inside the car, we can monitor the face of the driver and look for eye-movements which indicate that the driver is no longer in condition to drive. In such a case, a warning
M. Eriksson, N.P. Papanikotopoulos
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Review of Techniques for Driver Fatigue Detection

Applied Mechanics and Materials, 2013
Driver fatigue is a significant issue in driving safety. Large bodies of literature have examined fatigue detection methods and techniques. This paper provides a broad overview of the researches concerning related topics. So far, driver fatigue detection techniques developed can be divided into three categories, including techniques based on vehicle ...
Jian Yong Zhang, Wen Wei Qiu, Hui Jian Fu, Meng Ting Zhang, Qing Guo Ma   +4 more
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Driver Fatigue Detection Based on AdaBoost

2012
Depending on CCD camera to detect driver fatigue has been proposed in past research. This paper proposes a rapid method of driver fatigue detection by applying AdaBoost algorithm,and PERCLOS to judge the degree of the driver fatigue. Compared to the original method, this method reduces redundant facial texture information, and accelerates the speed of ...
Chiliang Xiong, Mei Xie, Lili Wang
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Driver Fatigue Detection Based on Eye Tracking

2006 6th World Congress on Intelligent Control and Automation, 2006
Driver fatigue is a key factor of accident. To solve the problem, eye tracking method is used to alarm tired drivers. To finalize this procedure, we took driver face images first by using a digital camera, then the images are processed and segmented. Then the horizontal projections of the detected objects in the binary images are analyzed. In this way,
null Ling Gan, null Bing Cui, null Weixing Wang   +2 more
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