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Authors: Dimitrios Amaxilatis 1 ; Nikolaos Tsironis 1 ; George Papoulias 2 ; Dennis Hofs 3 ; Rita Kovordanyi 4 ; Hugo Marcos 5 ; João Jordão 5 and João Quintas 5

Affiliations: 1 SparkWorks ITC Ltd, Derbyshire, DE11 8HS, U.K. ; 2 Department of Electrical and Computer Engineering, University of Patras, Rion, Greece ; 3 Roessingh Research and Development, Enschede, The Netherlands ; 4 Department of Computer and Information Science, Linköping University, Linköping, Sweden ; 5 Instituto Pedro Nunes, Coimbra, Portugal

Keyword(s): Office Workers, Internet of Things, Sensor Network, Unobtrusive Sensing.

Abstract: 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. (More)

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Paper citation in several formats:
Amaxilatis, D.; Tsironis, N.; Papoulias, G.; Hofs, D.; Kovordanyi, R.; Marcos, H.; Jordão, J. and Quintas, J. (2021). SmartWork: An IoT Enabled Unobtrusive Worker Health, Well-being and Functional Ability Monitoring Framework. In Proceedings of the 13th International Joint Conference on Computational Intelligence - SmartWork, ISBN 978-989-758-534-0; ISSN 2184-2825, pages 398-408. DOI: 10.5220/0010722800003063

@conference{smartwork21,
author={Dimitrios Amaxilatis. and Nikolaos Tsironis. and George Papoulias. and Dennis Hofs. and Rita Kovordanyi. and Hugo Marcos. and João Jordão. and João Quintas.},
title={SmartWork: An IoT Enabled Unobtrusive Worker Health, Well-being and Functional Ability Monitoring Framework},
booktitle={Proceedings of the 13th International Joint Conference on Computational Intelligence - SmartWork,},
year={2021},
pages={398-408},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010722800003063},
isbn={978-989-758-534-0},
issn={2184-2825},
}

TY - CONF

JO - Proceedings of the 13th International Joint Conference on Computational Intelligence - SmartWork,
TI - SmartWork: An IoT Enabled Unobtrusive Worker Health, Well-being and Functional Ability Monitoring Framework
SN - 978-989-758-534-0
IS - 2184-2825
AU - Amaxilatis, D.
AU - Tsironis, N.
AU - Papoulias, G.
AU - Hofs, D.
AU - Kovordanyi, R.
AU - Marcos, H.
AU - Jordão, J.
AU - Quintas, J.
PY - 2021
SP - 398
EP - 408
DO - 10.5220/0010722800003063