Deep learning-based construction equipment operators’ mental fatigue classification using wearable EEG sensor data
Author:
Funder
General Research Fund of Shanghai Normal University
Publisher
Elsevier BV
Subject
Artificial Intelligence,Information Systems,Building and Construction
Reference154 articles.
1. Fault detection and severity identification of ball bearings by online condition monitoring;Abdeljaber;IEEE Trans. Ind. Electron.,2018
2. Occupational injuries among building construction workers in Gondar City;Adane,2013
3. Wearable sensing technology applications in construction safety and health;Ahn;J. Constr. Eng. Manag.,2019
4. Exploring Neuro-Physiological Correlates of Drivers' Mental Fatigue Caused by Sleep Deprivation Using Simultaneous EEG, ECG, and fNIRS Data;Ahn;Front. Hum. Neurosci.,2016
5. Does the potential safety risk affect whether particular construction hazards are recognized or not?;Albert;J. Saf. Res.,2020
Cited by 25 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Online Assessment of Spontaneous Mental Fatigue in Construction Workers Considering Data Quality: Improved Online Sequential Extreme Learning Machine;Journal of Construction Engineering and Management;2024-11
2. How to mine the abnormal information of power transformers: An efficient tool for quantifying the fault characteristics via multi-vibration signals;Advanced Engineering Informatics;2024-10
3. Complexity of the instantaneous frequency variation in auditory steady-state response: A high sensitivity, high anti-interference index of mental fatigue;Advanced Engineering Informatics;2024-10
4. DualDomain-AttenNet: Synergizing time–frequency analysis and attention mechanisms for Motor Imagery BCI enhancement;Advanced Engineering Informatics;2024-10
5. TFormer: A time–frequency Transformer with batch normalization for driver fatigue recognition;Advanced Engineering Informatics;2024-10
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3