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Yuqi Wang, Lijun Zhang and Zhen Fang
Nowadays, eye fatigue is becoming more common globally. However, there was no objective and effective method for eye fatigue detection except the sample survey questionnaire. An eye fatigue detection method by machine learning based on the Single-Channel...
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Salem Naeeri, Ziho Kang, Saptarshi Mandal and Kwangtaek Kim
Pilot fatigue is a critical reason for aviation accidents related to human errors. Human-related accidents might be reduced if the pilots? eye movement measures can be leveraged to predict fatigue. Eye tracking can be a non-intrusive viable approach that...
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Jibo He, Zixu Li, Yidan Ma, Long Sun and Ko-Hsuan Ma
Driver fatigue can be further categorized into passive fatigue and active fatigue based on the task-induced fatigue perspective, with its categorization necessary from a theoretical basis and practical needs. Passive fatigue is caused by mental underload...
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Wei Wang, Xuefeng Hong, Jue Qu, Ning Xu and Tong Chen
A complex command and control task was selected as the test task, which included observing the overall and local situation, the interactive operation and situation display of detection equipment, the erection and launch of air defense equipment, and the ...
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Haijun Liang, Changyan Liu, Kuanming Chen, Jianguo Kong, Qicong Han and Tiantian Zhao
The fatiguing work of air traffic controllers inevitably threatens air traffic safety. Determining whether eyes are in an open or closed state is currently the main method for detecting fatigue in air traffic controllers. Here, an eye state recognition m...
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Tianjun Zhu, Chuang Zhang, Tunglung Wu, Zhuang Ouyang, Houzhi Li, Xiaoxiang Na, Jianguo Liang and Weihao Li
The research on driver fatigue detection is of great significance to improve driving safety. This paper proposes a real-time comprehensive driver fatigue detection algorithm based on facial landmarks to improve the detection accuracy, which detects the d...
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Lin Xu, Shanxiu Ma, Zhiyuan Shen, Shiyu Huang and Ying Nan
In order to determine the fatigue state of air traffic controllers from air talk, an algorithm is proposed for discriminating the fatigue state of controllers based on applying multi-speech feature fusion to voice data using a Fuzzy Support Vector Machin...
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Licao Dai, Yu Li and Meihui Zhang
Fatigue affects operators? safe operation in a nuclear power plant?s (NPP) main control room (MCR). An accurate and rapid detection of operators? fatigue status is significant to safe operation. The purpose of the study is to explore a way to detect oper...
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Sonia Díaz-Santos, Óscar Cigala-Álvarez, Ester Gonzalez-Sosa, Pino Caballero-Gil and Cándido Caballero-Gil
This paper introduces a cutting-edge approach that combines facial recognition and drowsiness detection technologies with Internet of Things capabilities, including 5G/6G connectivity, aimed at bolstering vehicle security and driver safety. The delineate...
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Ruben Florez, Facundo Palomino-Quispe, Roger Jesus Coaquira-Castillo, Julio Cesar Herrera-Levano, Thuanne Paixão and Ana Beatriz Alvarez
Drowsiness detection is an important task in road safety and other areas that require sustained attention. In this article, an approach to detect drowsiness in drivers is presented, focusing on the eye region, since eye fatigue is one of the first sympto...
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Weihuang Liu, Jinhao Qian, Zengwei Yao, Xintao Jiao and Jiahui Pan
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. The algorithm consists of four parts: (1) P...
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Hua Liao, Changbo Zhang, Wendi Zhao and Weihua Dong
The modes of interaction (e.g., mouse and touch) between maps and users affect the effectiveness and efficiency of transmitting cartographic information. Recent advances in eye tracking technology have made eye trackers lighter, cheaper and more accurate...
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Shuang Chen, Zengcai Wang and Wenxin Chen
The effective detection of driver drowsiness is an important measure to prevent traffic accidents. Most existing drowsiness detection methods only use a single facial feature to identify fatigue status, ignoring the complex correlation between fatigue fe...
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Jumana Waleed,Thekra Abbas,Taha Mohammed Hasan
Pág. 6 - 13
Annually, lots of persons are carrying lifelong disabilities or losing their lives owing to fatal accidents on the road. In addition to mechanical failures and people errors, driver's drowsiness represents one of the fundamental reasons for fatal acciden...
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José Solaz, José Laparra-Hernández, Daniel Bande, Noelia Rodríguez, ... Enrique Medina
Pág. 3867 - 3876
Road accidents and victims provoked by drowsiness are a worldwide relevant social and economic problem. In EU, 25% of road accidents are related with fatigue. The relation between drowsiness and accidents is supported by scientific evidences that relate ...
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