1–50 of 161 hits
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    Driver Fatigue Countermeasure System

    Gonuguntla, Ahalya Rani / Charan, Vemula Sai / Likhitha, Ventrapati et al. | IEEE | 2023

    Eye Fatigue Detection System

    Sravan, Ch. / Onesim, K.J. / Bhavana, V. Sri Sai et al. | IEEE | 2018

    Nonintrusive pilot fatigue monitoring

    Dillard, Michael B. / Orhan, Umut / Letsu-Dake, Emmanuel | IEEE | 2016

    An objective Human fatigue monitoring solution for Fatigue Risk Management or Reduced Crew Operations

    Hourlier, Sylvain / Ibanez, Vincent / Gagnon, Jean-Francois | IEEE | 2021

    Driver fatigue detection system

    Clement, F. S. C. / Vashistha, Aditya / Rane, Milind E | IEEE | 2015

    Driver Fatigue Detection Systems: A Review

    Sikander, Gulbadan / Anwar, Shahzad | IEEE | 2019

    Predict Driver Fatigue Using Facial Features

    Berkati, Oussama / Srifi, Mohamed Nabil | IEEE | 2018

    Using facial landmarks to detect driver fatigue

    Martinez, A. / Berrospi, F. / Porras, V. et al. | IEEE | 2022

    Research Progress of Work Fatigue Detection Technology

    Yuzhong, Liu / Zhiqiang, Lin / Zhixin, Yang et al. | IEEE | 2020

    A Systematic Survey of Driving Fatigue Monitoring

    Zhang, Zhimin / Ning, Huansheng / Zhou, Fang | IEEE | 2022

    Driver fatigue surveillance via eye detection

    Chang, Tang-Hsien / Yi-Ru Chen, | IEEE | 2014

    Driver Fatigue Detection Using OpenCV and Dlib Library

    Shen, Kuang / Ramli, Rusyaizila / Chuah, Joong Huang et al. | IEEE | 2023

    Visense for Vehicle Load Estimation and Fatigue Analysis

    Henke, Nils / Al-Rifai, Mohammad / Wagner, Mirko et al. | IEEE | 2023

    Drowsiness and fatigue detection using multi-feature fusion

    Sofi, Tasawor Ahmed / Mehfuz, Shabana | IEEE | 2023

    Classification of driving fatigue based on EEG signals

    Qin, Xuebin / Yang, Peijiao / Shen, Yutong et al. | IEEE | 2020

    Identification and monitoring of traffic operators' fatigue level

    Kouba, Petr / Smotek, Michal / Tichy, Tomas | IEEE | 2020

    Fatigue Driving Detection Based on Multi Feature Fusion

    Deng, Wanghua / Zhan, Zeyan / Yu, Yi et al. | IEEE | 2019

    Self-Heating Effect of HTPB Propellant during Fatigue

    Tong, Xin / Doghri, Issam / Xu, Jin-sheng et al. | IEEE | 2019

    Driver Fatigue Detection Using TGAM EEG Signal Processing Module

    Lin, Liang-Sian / Tsai, Hsiang-Yu / Li, Yi-Jie et al. | IEEE | 2023

    Mitigating Truck Driver Fatigue: A Driver Sleepiness Detecting System

    Khan, Sarim / Kaushik, Pratyush / Khan, Yusuf Ahmed et al. | IEEE | 2023

    Prolonging Robot Lifespan Using Fatigue Balancing with Reinforcement Learning

    Costa, Francesco / Mozaffari, Saeed / Alirezaee, Reza et al. | IEEE | 2022

    Real-Time Based Driver's Drowsiness and Fatigue Detection System

    Srivastava, Ashish / Bansal, Shreya / Sehgal, Satbir S | IEEE | 2022

    Optimized driver safety through driver fatigue detection methods

    Wathiq, Omar / Ambudkar, Bhavna D. | IEEE | 2017

    Driving Fatigue Identification Based on Multiple Non-intrusive Indicators

    Huang, Yanwen / Deng, Yuanchang / Shi, Chenjun | IEEE | 2021

    Software Centric Driver Fatigue Discernment System Using Computer Vision

    Agrawal, Meghna / Kumar, Rishabh / Das, Nripendra Narayan | IEEE | 2022

    Automatic online fatigue crack detection in railway axles

    Garcia-Prada, Juan Carlos / Gomez, Maria J. / Castejon, Cristina | IEEE | 2016

    Driver's EEG Eye Movement Fatigue Detection Based on CMAC*

    Xiao-yu, WU / Nai-meng, CANG / Wan-jun, YU et al. | IEEE | 2019

    Fatigue Detection of Air Traffic Controllers Using Metabolomic Methods

    Chen, Zhenling / Zhang, Jianping / Ding, Pengxin | IEEE | 2019

    EEG-Based Multiple Entropy Analysis for Assessing Driver Fatigue

    Hu, Jianfeng / Liu, Feiqiang / Wang, Ping | IEEE | 2019

    Interface Interaction Design of Railroad Dispatcher Fatigue State Analysis System

    Xiao, Ye / Yang, Zengyao / Xie, Juntai et al. | IEEE | 2023

    Compact Vehicle Driver Fatigue Recognition Technology Based on EEG Signal

    Lv, Chao / Nian, Jintao / Xu, Yaru et al. | IEEE | 2022

    Multimodal Features for Detection of Driver Stress and Fatigue: Review

    Nemcova, Andrea / Svozilova, Veronika / Bucsuhazy, Katerina et al. | IEEE | 2021

    An Efficient Fatigue Detection System by Inspecting Facial Behavioral Aspects

    Akshara, Revelly / Karthik, J. / Reddy, E.Sai Charan et al. | IEEE | 2021

    Correlation Analysis of Semantic Network Nodes in Flight Fatigue Events

    Liu, Junjie / Du, Yinlan / Zhang, Ruirui | IEEE | 2019

    Understanding and discussion on fatigue crack in wheel rims

    Zhang, Bin / Zhang, Peng-Pm / Zhang, Guan-Zhen et al. | IEEE | 2016

    Subjective Evaluation of Fatigue in Pilots During 24-hour Testing

    Hanakova, Lenka / Socha, Vladimir / Boril, Jan et al. | IEEE | 2020

    Effect of Fatigue and Stress on Air Traffic Control Performance

    Zhang, Xingjian / Yuan, Lepingyuan / Zhao, Mo et al. | IEEE | 2019

    Prototype of Driver Fatigue Detection System Using Convolutional Neural Network

    Nikolskaia, Kseniia / Bessonov, Vladislav / Starkov, Artem et al. | IEEE | 2019

    Driver Fatigue Prediction Using Different Sensor Data with Deep Learning

    Utomo, Darmawan / Yang, Tzu-Hsuan / Thanh, Dao Thi et al. | IEEE | 2019

    Human–Machine Shared Control for Path Following Considering Driver Fatigue Characteristics

    Fang, Zhenwu / Wang, Jinxiang / Wang, Zejiang et al. | IEEE | 2024

    Sleep Analysis for Fatigue of Crewmembers with Deep Multi-Task Learning

    Liu, Xingyu / Li, Yu / Wang, Xuhui et al. | IEEE | 2022

    Study on the design of computation system for flight fatigue value

    Xun, Xiangdong / Liu, Xingyu / Wang, Xuhui et al. | IEEE | 2023

    Research on time relevant variables based fatigue level prediction model

    Zhang, Hui / Wang, Zhe / Li, Yan et al. | IEEE | 2017

    Real Time Fatigue Detection Using Shape Predictor 68 Face Landmarks Algorithm

    M, Palaniappan / K R, Sowmia / S, Aravindkumar | IEEE | 2022