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Big Data & Wearable Sensors Ensuring Safety and Health @Work

Authors:
Farhad Abtahi
Jose A. Diaz-Olivare
Mikael Forsman
Ke Lu
Heikki Teriö
Liyun Yang
Santiago Aso
Jörgen Eklund
Christian Tiemann
Kaj Lindecrantz
Fernando Seoane
Cesar Mediavilla Martine

Keywords: Preventive Occupational Healthcare; Ergonomics; Wellbeing at Work

Abstract:
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.

Pages: 45 to 48

Copyright: Copyright (c) IARIA, 2017

Publication date: November 12, 2017

Published in: conference

ISSN: 2308-4553

ISBN: 978-1-61208-604-0

Location: Barcelona, Spain

Dates: from November 12, 2017 to November 16, 2017