Results 221 to 230 of about 163,027 (257)
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Fuzzy based driver fatigue detection
2010 IEEE International Conference on Systems, Man and Cybernetics, 2010International statistics shows that large numbers of road accidents are caused due to driver fatigue. In this paper the authors tried to detect the fatigue of a person who is working under some stressful conditions like Driving. The principle of the proposed system is based on the facial image analysis for warning the driver of fatigue to prevent ...
Mandalapu Sarada Devi, Preeti R. Bajaj
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1971
Relationships between the characterization and the nondestructive detection of fatigue damage are discussed and illustrated. Inspection methods presently used at overhaul facilities are reviewed, and examples of the equipment used and the results obtained are given. The advantages and limitations of currently used nondestructive methods are summarized.
JR Barton, FN Kusenberger
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Relationships between the characterization and the nondestructive detection of fatigue damage are discussed and illustrated. Inspection methods presently used at overhaul facilities are reviewed, and examples of the equipment used and the results obtained are given. The advantages and limitations of currently used nondestructive methods are summarized.
JR Barton, FN Kusenberger
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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 0025, Xuyu Wang, Shiwen Mao
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The detection of fatigue in metals
British Journal of Applied Physics, 1957This is a brief review of the nature of fatigue and of the methods that have been employed or suggested for examining the development of this condition in metals. The primary consideration is the assessment of the potential value of these methods as primitive non-destructive tests to reveal fatigue in its least dangerous stage, i.e.
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A Portable Tool for Eye Fatigue Detection
2017 IEEE/ACM International Conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE), 2017Mobile computing devices facilitate our daily lives, however, overuse of such may cause visual discomfort or even injure our eyes. Thus, personal visual health management is very important. Current eye fatigue examination methods include the critical flicker fusion test and Heuer's 10-point scale questionnaire. However, the flicker fusion system is too
Jyh-Da Wei +4 more
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Testing of features for fatigue detection in EOG
Bio-Medical Materials and Engineering, 2017The article deals with the testing of features for fatigue detection in electrooculography (EOG) records. An optimal methodology for EOG signal acquisition is described; the Biopac data acquisition system was used. EOG signals were being recorded while 10 volunteers were watching prepared scenes.
Andrea, Němcová +3 more
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Intelligent Fatigue Detection by Using ACS and by Avoiding False Alarms of Fatigue Detection
2019One cannot determine one’s state of being awake when driving the car for long hours in lengthier journeys. The most dangerous situation comes when the driver is feeling fatigue (sleepy). There are lot of works already been done on the fatigue detection of the driver.
A. Swathi, Shilpa Rani
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Optical method for fatigue crack detection
Applied Optics, 1980A 1-D optical Fourier spectrum analyzer system is used to detect fatigue cracks as small as 0.5 microm in titanium test samples. Signatures obtained from scans of reflected laser light diffraction patterns show features linked to the presence of surface cracks.
B J, Pernick, J, Kennedy
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Analysis of affective speech for fatigue detection
Proceedings of the International Conference and Workshop on Emerging Trends in Technology, 2010This paper presents the analysis of affective speech of human for fatigue detection. Experimental results revealed that, there is a dependence of fatigue on human voice [3]. If a person is carrying fatigue or feeling depressed, then it is clearly reflected from his speech. Current research work on fatigue detection is based on normal human speech. This
R. Khokale, A. R. Panat, Y. H. Gulhane
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Detecting Voice Fatigue With Artificial Intelligence
Journal of VoiceVoice fatigue (VF) has many symptoms and can occur after extended or brief voice use, depending on the presence or absence of voice pathology, and other factors. However, fatigue is difficult to detect and quantify through current approaches. This study explores the use of artificial intelligence (AI) in the automatic detection and analysis of VF ...
Abhinav, Siripurapu, Robert T, Sataloff
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