Attention Level Recognition of High-speed Railway Dispatchers’ Monitoring Work Based on EEG Frequency Domain Features

被引:0
|
作者
Zhang, Guangyuan [1 ,2 ,3 ]
Wen, Yuanjin [1 ,2 ,3 ]
Li, Jing [1 ,2 ,3 ]
Zhang, Zirui [1 ,2 ,3 ]
Hu, Yue [1 ,2 ,3 ]
机构
[1] School of Transportation and Logistics, Southwest Jiaotong University, Chengdu,610031, China
[2] National United Engineering Laboratory of Integrated and Intelligent Transportation, Southwest Jiaotong University, Chengdu,610031, China
[3] National Engineering Uaboratory of Integrated Transportation Big Data Application Technology, Southwest Jiaotong University, Chengdu,610031, China
来源
关键词
D O I
10.3969/j.issn.1001-8360.2023.05.003
中图分类号
学科分类号
摘要
28
引用
收藏
页码:21 / 28
相关论文
共 50 条
  • [1] Research on Method of Judgment of Fatigue Degree of High-speed Railway Dispatchers Based on Facial Features
    Zhang, Guangyuan
    Hu, Jin
    Zhang, Zirui
    Hu, Yue
    Zhang, Fan
    [J]. Tiedao Xuebao/Journal of the China Railway Society, 2021, 43 (08): : 10 - 17
  • [2] High-speed anomaly traffic detection based on staged frequency domain features
    Ni, Jiayi
    Chen, Wei
    Tong, Jiacheng
    Wang, Haiyong
    Wu, Lifa
    [J]. JOURNAL OF INFORMATION SECURITY AND APPLICATIONS, 2023, 77
  • [3] An EEG-based attention recognition method: fusion of time domain, frequency domain, and non-linear dynamics features
    Chen, Di
    Huang, Haiyun
    Bao, Xiaoyu
    Pan, Jiahui
    Li, Yuanqing
    [J]. FRONTIERS IN NEUROSCIENCE, 2023, 17
  • [4] Creep Camber Recognition Method of Simply Supported Girders in High-speed Railway Based on Longitudinal Level
    Gao, Liang
    Ma, Shuai
    Liu, Xiubo
    [J]. Journal of Railway Engineering Society, 2020, 37 (01) : 25 - 30
  • [5] The psychoacoustics annoyance research based on EEG rhythms for passengers in high-speed railway
    Chen, Xieqi
    Lin, Jianhui
    Jin, Hang
    Huang, Yan
    Liu, Zechao
    [J]. APPLIED ACOUSTICS, 2021, 171
  • [6] Evaluation of High-Speed Railway Bridges Based on a Nondestructive Monitoring System
    Kaloop, Mosbeh R.
    Hu, Jong Wan
    Elbeltagi, Emad
    [J]. APPLIED SCIENCES-BASEL, 2016, 6 (01):
  • [7] Investigation on vibration behavior of a high-speed railway bridge based on monitoring data
    Zhu, Qingxin
    Wang, Hao
    Spencer Jr, Billie F.
    [J]. SMART STRUCTURES AND SYSTEMS, 2023, 31 (06) : 585 - 599
  • [8] High-speed railway wheel polygon detection framework using improved frequency domain integration
    Xie, Qinglin
    Tao, Gongquan
    Lo, Siu Ming
    Cai, Wubin
    Wen, Zefeng
    [J]. VEHICLE SYSTEM DYNAMICS, 2024, 62 (06) : 1424 - 1445
  • [9] Passenger overall comfort in high-speed railway environments based on EEG: Assessment and degradation mechanism
    Peng, Yong
    Lin, Yating
    Fan, Chaojie
    Xu, Qian
    Xu, Diya
    Yi, Shengen
    Zhang, Honghao
    Wang, Kui
    [J]. BUILDING AND ENVIRONMENT, 2022, 210
  • [10] A Design Based on Internet of Things for Safety Monitoring System in High-speed Railway Maintenance
    Wang, Xin
    Li, Jin-yu
    Guo, Zhi-da
    [J]. 2018 INTERNATIONAL CONFERENCE ON ELECTRICAL, CONTROL, AUTOMATION AND ROBOTICS (ECAR 2018), 2018, 307 : 282 - 285