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Big Data & Wearable Sensors Ensuring Safety and Health @Work
KTH, Skolan för teknik och hälsa (STH).
KTH, Skolan för kemi, bioteknologi och hälsa (CBH), Medicinteknik och hälsosystem, Ergonomi.
Vise andre og tillknytning
2017 (engelsk)Inngår i: GLOBAL HEALTH 2017, The Sixth International Conference on Global Health Challenges, 2017Konferansepaper, Publicerat paper (Fagfellevurdert)
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

sted, utgiver, år, opplag, sider
2017.
Emneord [en]
-Preventive Occupational Healthcare; Ergonomics; Wellbeing at Work.
HSV kategori
Forskningsprogram
Medicinsk teknologi; Tillämpad medicinsk teknik
Identifikatorer
URN: urn:nbn:se:kth:diva-225652ISBN: 978-1-61208-604-0 (tryckt)OAI: oai:DiVA.org:kth-225652DiVA, id: diva2:1195845
Konferanse
GLOBAL HEALTH 2017, The Sixth International Conference on Global Health Challenges
Merknad

QC 20180416

Tilgjengelig fra: 2018-04-06 Laget: 2018-04-06 Sist oppdatert: 2018-04-16bibliografisk kontrollert

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fulltext(902 kB)56 nedlastinger
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http://thinkmind.org/index.php?view=article&articleid=global_health_2017_6_10_78005

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Abtahi, FarhadDiaz-Olivazrez, Jose A.Yang, LiyunLu, KeEklund, JörgenLindecrantz, Kaj
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