Results 11 to 20 of about 1,740 (178)
Deteksi Kedipan dengan Metode CNN dan Percentage of Eyelid Closure (PERCLOS) [PDF]
Jurnal Teknik ITS, 2021 Pengembangan teknologi mengenai face detection dan eyes detection melaju sangat pesat, sehingga peneliti berlomba-lomba meneliti metode dan algoritma yang optimal untuk pengaplikasian di kehidupan sehari-hari, mulai dari pengamanan biometrics sampai identifikasi wajah secara au- tomasi.
Lutfi Ananditya Septiandi +2 more
core +4 more sources
A Field Study of Work Type Influence on Air Traffic Controllers' Fatigue Based on Data-Driven PERCLOS Detection. [PDF]
Int J Environ Res Public Health, 2021 The fatigue of air traffic controllers (ATCOs) on duty seriously threatens air traffic safety and needs to be managed. ATCOs perform several different types of work, with each type of work having different characteristics. Nonetheless, the influence of work type on an ATCO’s fatigue has yet to be demonstrated.
Zhang J, Chen Z, Liu W, Ding P, Wu Q.
europepmc +5 more sources
Applied Sciences, 2023 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.
Licao Dai, Yu Li, Meihui Zhang
doaj +3 more sources
Driver Drowsiness Detection Based on Face Feature and Perclos
International Journal of Scientific Research in Science and Technology, 2021 Driving vehicles are complex and require undivided attention to prevent road accidents. Fatigue and distraction are a major risk factor that causes traffic accidents, severe injuries, and a high risk of death. Some progress has been made for driver drowsiness detection using a contact-based method that utilizes vehicle parts (such as steering angle and
S. Gopi +4 more
openaire +2 more sources
Mind the road: attention related neuromarkers during automated and manual simulated driving captured with a new mobile EEG sensor system [PDF]
Frontiers in NeuroergonomicsBackgroundDecline in vigilance due to fatigue is a common concern in traffic safety. Partially automated driving (PAD) systems can aid driving but decrease the driver's vigilance over time, due to reduced task engagement.
Joanna Elizabeth Mary Scanlon +4 more
doaj +2 more sources
Real time detection of driver fatigue based on CNN‐LSTM
IET Image Processing, 2022 Fatigue driving is one of the main causes of traffic accidents. In order to solve this problem, a new Convolutional Neural Network and Long Short‐Term Memory (CNN‐LSTM) based real‐time driver fatigue detection method is proposed.
Ming‐Zhou Liu +3 more
doaj +2 more sources
Driver Drowsiness Detection Based on Face Feature and PERCLOS
Journal of Physics: Conference Series, 2018 Driving vehicles are complex and require undivided attention to prevent road accidents. Fatigue and distraction are a major risk factor that causes traffic accidents, severe injuries, and a high risk of death. Some progress has been made for driver drowsiness detection using a contact-based method that utilizes vehicle parts (such as steering angle and
Suhandi Junaedi, Habibullah Akbar
openaire +2 more sources
Sensitivity of PERCLOS70 to Drowsiness Level: Effectiveness of PERCLOS70 to Prevent Crashes Caused by Drowsiness [PDF]
IEEE Access, 2022 It has been reported that many crashes are caused by drowsiness. Thus, it is critical to predict the occurrence of severe drowsiness that may result in a crash by means of an effective measure.
Atsuo Murata +2 more
doaj +3 more sources
Research on Driving Fatigue Detection Based on PERCLOS
DEStech Transactions on Engineering and Technology Research, 2017 This paper expounded the mechanism on PERCLOS detecting and evaluating fatigue driving, and briefly introduced the composition of hardware evaluation system. This system firstly detected the face region roughly using skin-color model. Then the drivers’ eyes were located exactly on RGB by face geometry features.
CUIQING ZHANG, LIZHEN WEI, PEI ZHENG
openaire +3 more sources
Lightweight and Real-Time Driver Fatigue Detection Based on MG-YOLOv8 with Facial Multi-Feature Fusion [PDF]
Journal of ImagingDriver fatigue is a primary factor in traffic accidents and poses a serious threat to road safety. To address this issue, this paper proposes a multi-feature fusion fatigue detection method based on an improved YOLOv8 model.
Chengming Chen +5 more
doaj +2 more sources