The Effectiveness of Tactile Intervention Sensors in Mitigating Fatigue of High-Speed Railway Drivers

IF 4.3 2区 综合性期刊 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC
Zizheng Guo;Xiaoyu Chang;Guofa Li;Ming Zhou;Bangwei Yuan;Hui Xu;Zhe Li;Paul Green
{"title":"The Effectiveness of Tactile Intervention Sensors in Mitigating Fatigue of High-Speed Railway Drivers","authors":"Zizheng Guo;Xiaoyu Chang;Guofa Li;Ming Zhou;Bangwei Yuan;Hui Xu;Zhe Li;Paul Green","doi":"10.1109/JSEN.2024.3487844","DOIUrl":null,"url":null,"abstract":"Long monotonous driving tasks can induce driver fatigue, significantly reducing vigilance and threatening the safety of high-speed train operations. Despite the importance of addressing this issue, effective interventions to mitigate driver fatigue in the context of high-speed railway (HSR) systems remain a challenge. This study aims to examine the effects of three tactile intervention strategies [transcutaneous electrical acupoint stimulation (TEAS), thermal stimulation (TS), and vibration stimulation (VS)] on alleviating driver fatigue. A high-speed train simulator was used to conduct experiments with subjects. Each participant was required to complete four driving tasks: one without any intervention and three with each of the aforementioned tactile interventions when experiencing fatigue. Physiological metrics such as reaction time (RT), electrocardiogram (ECG), and electroencephalogram (EEG) were collected to assess driver vigilance. The results revealed that thermal and VSs effectively reduced RTs (TS =1.11 s, VS =1.09 s, no-intervention =1.12 s) and slowed down the fatigue process. Drivers exhibited higher vigilance levels during these interventions, as reflected in improved ECG and EEG features. For example, the high-frequency energy of the EEG signal increases during the stimulation compared to before the stimulation. However, TEAS did not show significant effects on fatigue reduction. This study contributes to the literature by providing evidences to support that appropriate tactile interventions, particularly thermal and VSs, can effectively mitigate driver fatigue and improve vigilance levels. These findings offer practical insights for enhancing the safety of HSR operations by minimizing risks associated with driver fatigue.","PeriodicalId":447,"journal":{"name":"IEEE Sensors Journal","volume":"24 24","pages":"42103-42117"},"PeriodicalIF":4.3000,"publicationDate":"2024-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Sensors Journal","FirstCategoryId":"103","ListUrlMain":"https://ieeexplore.ieee.org/document/10742273/","RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
引用次数: 0

Abstract

Long monotonous driving tasks can induce driver fatigue, significantly reducing vigilance and threatening the safety of high-speed train operations. Despite the importance of addressing this issue, effective interventions to mitigate driver fatigue in the context of high-speed railway (HSR) systems remain a challenge. This study aims to examine the effects of three tactile intervention strategies [transcutaneous electrical acupoint stimulation (TEAS), thermal stimulation (TS), and vibration stimulation (VS)] on alleviating driver fatigue. A high-speed train simulator was used to conduct experiments with subjects. Each participant was required to complete four driving tasks: one without any intervention and three with each of the aforementioned tactile interventions when experiencing fatigue. Physiological metrics such as reaction time (RT), electrocardiogram (ECG), and electroencephalogram (EEG) were collected to assess driver vigilance. The results revealed that thermal and VSs effectively reduced RTs (TS =1.11 s, VS =1.09 s, no-intervention =1.12 s) and slowed down the fatigue process. Drivers exhibited higher vigilance levels during these interventions, as reflected in improved ECG and EEG features. For example, the high-frequency energy of the EEG signal increases during the stimulation compared to before the stimulation. However, TEAS did not show significant effects on fatigue reduction. This study contributes to the literature by providing evidences to support that appropriate tactile interventions, particularly thermal and VSs, can effectively mitigate driver fatigue and improve vigilance levels. These findings offer practical insights for enhancing the safety of HSR operations by minimizing risks associated with driver fatigue.
求助全文
约1分钟内获得全文 求助全文
来源期刊
IEEE Sensors Journal
IEEE Sensors Journal 工程技术-工程:电子与电气
CiteScore
7.70
自引率
14.00%
发文量
2058
审稿时长
5.2 months
期刊介绍: The fields of interest of the IEEE Sensors Journal are the theory, design , fabrication, manufacturing and applications of devices for sensing and transducing physical, chemical and biological phenomena, with emphasis on the electronics and physics aspect of sensors and integrated sensors-actuators. IEEE Sensors Journal deals with the following: -Sensor Phenomenology, Modelling, and Evaluation -Sensor Materials, Processing, and Fabrication -Chemical and Gas Sensors -Microfluidics and Biosensors -Optical Sensors -Physical Sensors: Temperature, Mechanical, Magnetic, and others -Acoustic and Ultrasonic Sensors -Sensor Packaging -Sensor Networks -Sensor Applications -Sensor Systems: Signals, Processing, and Interfaces -Actuators and Sensor Power Systems -Sensor Signal Processing for high precision and stability (amplification, filtering, linearization, modulation/demodulation) and under harsh conditions (EMC, radiation, humidity, temperature); energy consumption/harvesting -Sensor Data Processing (soft computing with sensor data, e.g., pattern recognition, machine learning, evolutionary computation; sensor data fusion, processing of wave e.g., electromagnetic and acoustic; and non-wave, e.g., chemical, gravity, particle, thermal, radiative and non-radiative sensor data, detection, estimation and classification based on sensor data) -Sensors in Industrial Practice
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信