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Shichen Fu, Zhenhua Yang, Yuan Ma, Zhenfeng Li, Le Xu and Huixing Zhou
Detecting the factors affecting drivers? safe driving and taking early warning measures can effectively reduce the probability of automobile safety accidents and improve vehicle driving safety. Considering the two factors of driver fatigue and distractio...
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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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Shiplu Das, Sanjoy Pratihar, Buddhadeb Pradhan, Rutvij H. Jhaveri and Francesco Benedetto
The main purpose of a detection system is to ascertain the state of an individual?s eyes, whether they are open and alert or closed, and then alert them to their level of fatigue. As a result of this, they will refrain from approaching an accident site. ...
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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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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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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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Satoshi Hyodo, Tohio Yoshii, Matstushita Satoshi, Shirayanagi Hirotoshi
Pág. 169 - 179
Driver's fatigue is an important factor of traffic accidents. Therefore, a fatigue detection system which achieves a small burden on a driver is expected to be developed, which stimulates drivers after long hour driving to take a rest at an appropriate t...
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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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Mengzhu Guo, Shiwu Li, Linhong Wang, Meng Chai, Facheng Chen and Yunong Wei
Background: Driving fatigue affects the reaction ability of a driver. The aim of this research is to analyze the relationship between driving fatigue, physiological signals and driver?s reaction time. Methods: Twenty subjects were tested during driving. ...
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