liu.seSearch for publications in DiVA
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
SmartWork: An IoT Enabled Unobtrusive Worker Health, Well-being and Functional Ability Monitoring Framework
SparkWorks ITC Ltd, England.
SparkWorks ITC Ltd, England.
Univ Patras, Greece.
Roessingh Res & Dev, Netherlands.
Show others and affiliations
2021 (English)In: PROCEEDINGS OF THE 13TH INTERNATIONAL JOINT CONFERENCE ON COMPUTATIONAL INTELLIGENCE (IJCCI), SCITEPRESS , 2021, p. 398-408Conference paper, Published paper (Refereed)
Abstract [en]

Staying healthy in our workplaces is one of the most important priorities both for employers and employees, especially after the recent COVID-19 pandemic. Especially for older workers, that are more vulnerable, not only due to COVID-19 but also due to their chronic conditions that may be affecting their performance and productivity. This is more prevalent in western societies where populations are aging and people and governments start to consider staying at work longer to stay as active members of the society and live independently in better conditions. In this paper we present the SmartWork software suite that aims at building a worker-centric Internet of Things enabled system for workability sustainability, integrating unobtrusive sensing and modeling of the worker state with a suite of novel services for context and worker-aware adaptive work support. SmartWork is a ready to use, software suite tested in real-world installations that combines off-the-shelf and novel software and hardware components to provide workers with guidance on how to improve both their personal and professional lives.

Place, publisher, year, edition, pages
SCITEPRESS , 2021. p. 398-408
Keywords [en]
Office Workers; Internet of Things; Sensor Network; Unobtrusive Sensing
National Category
Work Sciences
Identifiers
URN: urn:nbn:se:liu:diva-185426DOI: 10.5220/0010722800003063ISI: 000796484600040ISBN: 9789897585340 (print)OAI: oai:DiVA.org:liu-185426DiVA, id: diva2:1663932
Conference
13th International Joint Conference on Computational Intelligence (IJCCI) / 13th International Conference on Evolutionary Computation Theory and Applications (ECTA), ELECTR NETWORK, oct 25-27, 2021
Note

Funding Agencies|SmartWork project [GA 826343]; EU H2020 [SC1-DTH-03-2018]

Available from: 2022-06-03 Created: 2022-06-03 Last updated: 2022-06-03

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full text

Search in DiVA

By author/editor
Kovordanyi, Rita
By organisation
Human-Centered systemsFaculty of Science & Engineering
Work Sciences

Search outside of DiVA

GoogleGoogle Scholar

doi
isbn
urn-nbn

Altmetric score

doi
isbn
urn-nbn
Total: 161 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf