LiftingDoneRight: A Privacy-Aware Human Motion Tracking System for Healthcare Professionals

Wenbing Zhao, Roanna Lun, C. Gordon, Abou-Bakar M. Fofana, D. Espy, M. A. Reinthal, B. Ekelman, Glenn Goodman, Joan E. Niederriter, C. Luo, Xiong Luo
{"title":"LiftingDoneRight: A Privacy-Aware Human Motion Tracking System for Healthcare Professionals","authors":"Wenbing Zhao, Roanna Lun, C. Gordon, Abou-Bakar M. Fofana, D. Espy, M. A. Reinthal, B. Ekelman, Glenn Goodman, Joan E. Niederriter, C. Luo, Xiong Luo","doi":"10.4018/IJHCR.2016070101","DOIUrl":null,"url":null,"abstract":"This article describes the design and implementation of LiftingDoneRight, a novel system for healthcare professionals to enhance their compliance with best practices and regulations regarding proper body mechanics for lifting and pulling activities. The system uses Microsoft Kinect to track the motion of consented users non-intrusively. The system relies on the use of a smartwatch to deliver an alert via vibration and text display whenever a wrong activity that violated the proper body mechanics has been detected. A core contribution of this study is a registration mechanism for a healthcare professional to explicitly give permission to the system to monitor his or her activities. Furthermore, a non-intrusive biometrics-based single sign-on mechanism is incorporated into the system to allow a user to be automatically identified for tracking as long as the user has manually registered with the system before. Finally, the system offers a number of configurations to accommodate different usability needs and privacy requirements.","PeriodicalId":265963,"journal":{"name":"Int. J. Handheld Comput. Res.","volume":"17 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"21","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Int. J. Handheld Comput. Res.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4018/IJHCR.2016070101","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 21

Abstract

This article describes the design and implementation of LiftingDoneRight, a novel system for healthcare professionals to enhance their compliance with best practices and regulations regarding proper body mechanics for lifting and pulling activities. The system uses Microsoft Kinect to track the motion of consented users non-intrusively. The system relies on the use of a smartwatch to deliver an alert via vibration and text display whenever a wrong activity that violated the proper body mechanics has been detected. A core contribution of this study is a registration mechanism for a healthcare professional to explicitly give permission to the system to monitor his or her activities. Furthermore, a non-intrusive biometrics-based single sign-on mechanism is incorporated into the system to allow a user to be automatically identified for tracking as long as the user has manually registered with the system before. Finally, the system offers a number of configurations to accommodate different usability needs and privacy requirements.
LiftingDoneRight:针对医疗保健专业人员的隐私感知人体运动跟踪系统
本文描述了LiftingDoneRight的设计和实现,这是一种新颖的系统,用于医疗保健专业人员,以提高他们对有关适当的身体力学的最佳实践和法规的遵从性。该系统使用微软Kinect来非侵入性地跟踪用户的动作。该系统依赖于智能手表的使用,每当检测到违反适当身体力学的错误活动时,它就会通过振动和文本显示发出警报。本研究的一个核心贡献是为医疗保健专业人员提供了一种注册机制,以明确授权系统监控他或她的活动。此外,该系统还采用了非侵入式的基于生物特征的单点登录机制,只要用户之前在系统中手动注册,就可以自动识别用户以进行跟踪。最后,该系统提供了许多配置,以适应不同的可用性需求和隐私要求。
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 求助全文
来源期刊
自引率
0.00%
发文量
0
×
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