Zobrazeno 1 - 10
of 1 277
pro vyhledávání: '"Drowsiness detection"'
Publikováno v:
Journal of Applied Science and Engineering, Vol 27, Iss 7, Pp 2869-2881 (2024)
Driver drowsiness can cause serious harm to drivers and other road participants. Exploring objective and efficient methods for detecting driver drowsiness has important application value for ensuring road safety. Considering the information complemen
Externí odkaz:
https://doaj.org/article/f83cc343c7de4976a9684ffceaeb7d0a
Autor:
Dina Salem, Mohamed Waleed
Publikováno v:
Journal of Engineering and Applied Science, Vol 71, Iss 1, Pp 1-15 (2024)
Abstract Drowsiness detection is a critical aspect of ensuring safety in various domains, including transportation, online learning, and multimedia consumption. This research paper presents a comprehensive investigation into drowsiness detection meth
Externí odkaz:
https://doaj.org/article/21e8993d7a56473b850d808d9d9c6990
Autor:
Khwanchai Kaewkaisorn, Krisna Pintong, Songpol Bunyang, Teerarat Tansawat, Thitirat Siriborvornratanakul
Publikováno v:
Discover Education, Vol 3, Iss 1, Pp 1-14 (2024)
Abstract Electronic Learning (E-Learning) played a significant role in education during the Covid-19 pandemic. It is a way to teach and learn online, and it is an efficient method of knowledge transfer for the instructors and students, who must pract
Externí odkaz:
https://doaj.org/article/a9f8ad3e14604972809c50b200e6ea98
Autor:
Muhammad Ramzan, Adnan Abid, Muhammad Fayyaz, Tahani Jaser Alahmadi, Haitham Nobanee, Amjad Rehman
Publikováno v:
IEEE Access, Vol 12, Pp 126866-126884 (2024)
Driver Drowsiness Detection (D3) is a challenging task as it requires analysis based on various behavioral and physiological signs such as health issues, mental stress, and exhaustion. Data analytics reveals that driver drowsiness is the reason for o
Externí odkaz:
https://doaj.org/article/315f0e8ab81742d9973859446439d40d
Publikováno v:
IEEE Access, Vol 12, Pp 110476-110491 (2024)
One major factor in the rising incidence of traffic accidents is the driver’s drowsiness. Innovations in computer vision technology have made it possible to construct smart cams that can recognize driver fatigue. By alerting drivers, this technolog
Externí odkaz:
https://doaj.org/article/3b691a33ddc54584a5178ec4ca1b8108
Publikováno v:
IEEE Access, Vol 12, Pp 45709-45726 (2024)
In today’s analysis of traffic accident reports it becomes evident that most driving accidents result from driver drowsiness, fatigue, and lack of alertness. At these moments, drivers cannot react quickly to such changes in their state. Characteris
Externí odkaz:
https://doaj.org/article/ae5493263f464eac918da31942d5bb8b
Publikováno v:
AIMS Mathematics, Vol 9, Iss 2, Pp 3211-3234 (2024)
Driver drowsiness is one of the leading causes of road accidents resulting in serious physical injuries, fatalities, and substantial economic losses. A sophisticated Driver Drowsiness Detection (DDD) system can alert the driver in case of abnormal be
Externí odkaz:
https://doaj.org/article/3a436cf0f0ea4a37b8b95937bd918e31
Publikováno v:
IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol 32, Pp 83-93 (2024)
Drowsy driving is one of the primary causes of driving fatalities. Electroencephalography (EEG), a method for detecting drowsiness directly from brain activity, has been widely used for detecting driver drowsiness in real-time. Recent studies have re
Externí odkaz:
https://doaj.org/article/6f7f55bb7e0b4239852bf6b8d13a9823
Autor:
Eduardo Quiles-Cucarella, Julio Cano-Bernet, Lucas Santos-Fernández, Carlos Roldán-Blay, Carlos Roldán-Porta
Publikováno v:
Sensors, Vol 24, Iss 17, p 5683 (2024)
It is estimated that 10% to 20% of road accidents are related to fatigue, with accidents caused by drowsiness up to twice as deadly as those caused by other factors. In order to reduce these numbers, strategies such as advertising campaigns, the impl
Externí odkaz:
https://doaj.org/article/3c08d666fcbd410b826b52f0cd6650c5
Autor:
Aymen Zayed, Nidhameddine Belhadj, Khaled Ben Khalifa, Mohamed Hedi Bedoui, Carlos Valderrama
Publikováno v:
Sensors, Vol 24, Iss 13, p 4256 (2024)
Drowsiness is a main factor for various costly defects, even fatal accidents in areas such as construction, transportation, industry and medicine, due to the lack of monitoring vigilance in the mentioned areas. The implementation of a drowsiness dete
Externí odkaz:
https://doaj.org/article/3d2ca92658754f52abfa542bd941f6b3