Real-Time Detector of Human Fatigue: Detecting Lapses in Alertness

机译：人体疲劳的实时检测器：检测警报中的失误

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摘要

This project seeks to develop superior new methods to monitor human alertness and fatigue in real time, using a suite of unobtrusive sensors and algorithms to assess and predict human behavioral capabilities.

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作者
Stern, J.;
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年度 2008
页码 p.1-134
总页数 134
原文格式 PDF
正文语种 eng
中图分类工业技术;
关键词
Detectors; Performance(Human); Algorithms; Cognition; Caffeine; Software tools; Fatigue(Physiology); Sleep deprivation; Monitoring; Real time;

机译：探测器;性能（人类）;算法;认知;咖啡因;软件工具;疲劳（生理学）;睡眠剥夺;监测;实时;

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1. Detecting phasic lapses in alertness using pupillometric measures [J] . Sean D. Kristjansson, John A. Stern, Timothy B. Brown, Applied Ergonomics . 2009,第6期

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2. Complementary time-lapse datasets of x-ray computed tomography and real-time strain mapping for an ex-situ study of non-crimp glass fibre composites under fatigue loading [J] . Anuj Prajapati, Stuart Morse, Ali Chirazi, Data in Brief . 2021,第a期

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3. Mobile Platform Detect and Alerts System for Driver Fatigue [J] . Maysoon Abulkhair, Arwa H. Alsahli, Kawther M. Taleb, Procedia Computer Science . 2015,第1期

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4. Real-time Intrusion - Detecting and Alert System by Image Processing Techniques [C] . Nawin Kongurgsa, Narumol Chumuang, Mahasak Ketcham International Conference on Ubi-media Computing and Workshops . 2017

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5. Alert Fatigue: Exploring the Relationship Between Clinical Alerts and User Types [D] . Steinhaus, Jennifer. 2018

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6. Medical Alert Management: A Real-Time Adaptive Decision Support Tool to Reduce Alert Fatigue [O] . Eva K. Lee, Tsung-Lin Wu, Tal Senior, 2014

机译：医疗警报管理：实时自适应决策支持工具可减少警报疲劳
7. Mobile Platform Detect and Alerts System for Driver Fatigue [O] . Abulkhair Maysoon, Alsahli Arwa H., Taleb Kawther M., 2015

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Real-Time Detector of Human Fatigue: Detecting Lapses in Alertness

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