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Big Data & Wearable Sensors Ensuring Safety and Health @Work
KTH, School of Technology and Health (STH). KTH, School of Engineering Sciences in Chemistry, Biotechnology and Health (CBH), Biomedical Engineering and Health Systems, Ergonomics.
KTH, School of Engineering Sciences in Chemistry, Biotechnology and Health (CBH), Biomedical Engineering and Health Systems, Ergonomics.
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2017 (English)In: GLOBAL HEALTH 2017, The Sixth International Conference on Global Health Challenges, 2017Conference paper, Published paper (Refereed)
Abstract [en]

—Work-related injuries and disorders constitute a major burden and cost for employers, society in general and workers in particular. We@Work is a project that aims to develop an integrated solution for promoting and supporting a safe and healthy working life by combining wearable technologies, Big Data analytics, ergonomics, and information and communication technologies. The We@Work solution aims to support the worker and employer to ensure a healthy working life through pervasive monitoring for early warnings, prompt detection of capacity-loss and accurate risk assessments at workplace as well as self-management of a healthy working life. A multiservice platform will allow unobtrusive data collection at workplaces. Big Data analytics will provide real-time information useful to prevent work injuries and support healthy working life

Place, publisher, year, edition, pages
2017.
Keywords [en]
-Preventive Occupational Healthcare; Ergonomics; Wellbeing at Work.
National Category
Medical Ergonomics Other Medical Engineering
Research subject
Medical Technology; Applied Medical Technology
Identifiers
URN: urn:nbn:se:kth:diva-225652ISBN: 978-1-61208-604-0 (print)OAI: oai:DiVA.org:kth-225652DiVA, id: diva2:1195845
Conference
GLOBAL HEALTH 2017, The Sixth International Conference on Global Health Challenges
Note

QC 20180416

Available from: 2018-04-06 Created: 2018-04-06 Last updated: 2024-03-15Bibliographically approved

Open Access in DiVA

fulltext(902 kB)410 downloads
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File name FULLTEXT01.pdfFile size 902 kBChecksum SHA-512
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http://thinkmind.org/index.php?view=article&articleid=global_health_2017_6_10_78005

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Abtahi, FarhadForsman, MikaelDiaz-Olivares, Jose A.Yang, LiyunLu, KeEklund, JörgenLindecrantz, Kaj

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Abtahi, FarhadForsman, MikaelDiaz-Olivares, Jose A.Yang, LiyunLu, KeEklund, JörgenLindecrantz, Kaj
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School of Technology and Health (STH)Ergonomics
Medical ErgonomicsOther Medical Engineering

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CiteExportLink to record
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Citation style
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  • ieee
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  • de-DE
  • en-GB
  • en-US
  • fi-FI
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  • Other locale
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Output format
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