Human Fatigue Aware Cyber-Physical Production System

Y. A. Paredes-Astudillo, Diego Moreno, Ana-Maria Vargas, Maria-Alejandra Angel, Sergio Perez, J. Jimenez, Luis A. Saavedra-Robinson, D. Trentesaux
{"title":"Human Fatigue Aware Cyber-Physical Production System","authors":"Y. A. Paredes-Astudillo, Diego Moreno, Ana-Maria Vargas, Maria-Alejandra Angel, Sergio Perez, J. Jimenez, Luis A. Saavedra-Robinson, D. Trentesaux","doi":"10.1109/ICHMS49158.2020.9209366","DOIUrl":null,"url":null,"abstract":"Production systems contain advanced automated processes, and humans are involved in activities, such as monitoring, managing and/or operating, to ensure the right functioning of these systems. The challenge for industries is to develop human-centred scheduling systems that orchestrate the interaction between human and machines devices considering both operations productivity and human well-being. In this paper, a cyber-physical production system integrating a smart station is proposed to dynamically change the schedule of tasks to human operators, regarding the cognitive fatigue level during execution. The smart station consists in a human operator connected to a galvanometer that tracks electric currents on his skin coupled to a virtual holon that seeks the human well-being minimising his cognitive fatigue estimated from the tracking of the current. This Holon is also in charge of the modification of the scheduling through the adaption of the workload. A real experiment has been conducted to validate the contribution of the proposed approach and the results demonstrate significant mitigation of human wellbeing degradation in term of cognitive fatigue.","PeriodicalId":132917,"journal":{"name":"2020 IEEE International Conference on Human-Machine Systems (ICHMS)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE International Conference on Human-Machine Systems (ICHMS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICHMS49158.2020.9209366","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3

Abstract

Production systems contain advanced automated processes, and humans are involved in activities, such as monitoring, managing and/or operating, to ensure the right functioning of these systems. The challenge for industries is to develop human-centred scheduling systems that orchestrate the interaction between human and machines devices considering both operations productivity and human well-being. In this paper, a cyber-physical production system integrating a smart station is proposed to dynamically change the schedule of tasks to human operators, regarding the cognitive fatigue level during execution. The smart station consists in a human operator connected to a galvanometer that tracks electric currents on his skin coupled to a virtual holon that seeks the human well-being minimising his cognitive fatigue estimated from the tracking of the current. This Holon is also in charge of the modification of the scheduling through the adaption of the workload. A real experiment has been conducted to validate the contribution of the proposed approach and the results demonstrate significant mitigation of human wellbeing degradation in term of cognitive fatigue.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
人体疲劳感知信息-物理生产系统
生产系统包含先进的自动化过程,人类参与诸如监控、管理和/或操作等活动,以确保这些系统的正常运行。工业面临的挑战是开发以人为中心的调度系统,协调人与机器设备之间的交互,同时考虑到操作生产力和人类福祉。本文提出了一种集成智能工位的信息物理生产系统,考虑到操作人员在执行过程中的认知疲劳程度,动态地改变任务调度。该智能工作站由一名操作员组成,该操作员连接到一个振镜,该振镜跟踪皮肤上的电流,再加上一个虚拟全息,该全息寻求人类的健康,最大限度地减少通过跟踪电流估计的认知疲劳。这个Holon也负责通过工作量的适应来修改排程。已经进行了一个真实的实验来验证所提出的方法的贡献,结果表明,在认知疲劳方面,人类健康退化的显著缓解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Finite Time Sliding Mode Control of Connected Vehicle Platoons Guaranteeing String Stability User detection of threats with different security measures Driver Hazard Response When Processing On-road and In-vehicle Messaging of Non-Safety-Related Information Towards trustworthiness and transparency in social human-robot interaction Collaborative Environmental Monitoring through Teams of Trusted IoT devices
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1