首页> 外文期刊>Human-Machine Systems, IEEE Transactions on >Human Work and Status Evaluation Based on Wearable Sensors in Human Factors and Ergonomics: A Review
【24h】

Human Work and Status Evaluation Based on Wearable Sensors in Human Factors and Ergonomics: A Review

机译:基于人为因素和人体工程学的可穿戴传感器的人类工作和状态评估:综述

获取原文
获取原文并翻译 | 示例
       

摘要

Humans are an important component of human-machine systems. A better understanding of the role and the status of humans can facilitate and improve the overall human-machine system performance, as well as ensure the well-being of humans. In human factors and ergonomics (HF/E), conventional methods of human performance evaluation usually require the efforts of trained personnel for data collection, data analysis, and the explanation of results. There is an emerging need for a novel and cost-efficient method of assessing human work and status in various systems. The development of wearable technologies has improved the potential for developing a smarter and automatic solution to performing relevant evaluations. In this paper, the authors conduct a scoping review of the studies published from 2001 to 2017 that focused on wearable sensor technology and propose a framework to summarize the research topics. The main steps in the framework include data collection, data processing, and system feedback. Specifically, considering the gaps between current HF/E studies of wearables and the available resources, the authors conducted a detailed review of the application of wearables in HF/E human work evaluation. The opportunities and challenges of introducing wearable sensors into HF/E evaluation are discussed.
机译:人是人机系统的重要组成部分。更好地了解人的角色和地位可以促进和改善人机系统的整体性能,并确保人的福祉。在人为因素和人体工程学(HF / E)中,常规的人类绩效评估方法通常需要训练有素的人员进行数据收集,数据分析和结果解释。迫切需要一种新颖且具有成本效益的方法来评估各种系统中的人员工作和状态。可穿戴技术的发展提高了开发更智能和自动解决方案以执行相关评估的潜力。在本文中,作者对2001年至2017年发表的研究进行了范围回顾,该研究专注于可穿戴传感器技术,并提出了一个框架来总结研究主题。该框架的主要步骤包括数据收集,数据处理和系统反馈。具体而言,考虑到当前可穿戴设备的HF / E研究与可用资源之间的差距,作者对可穿戴设备在HF / E人体工作评估中的应用进行了详细的回顾。讨论了将可穿戴传感器引入HF / E评估的机遇和挑战。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号