The WorkingAge project aims at improving the psycho-physical condition of workers, with a special focus on ageing subjects. In this context, a Decision Support System, based on a hybrid data-driven/model-driven approach, fed with data coming from environmental and wearable sensors, aims to provide personalised advises to the worker. In this paper we briefly present the WorkingAge project and architecture, and then focus on the decision-making pipeline that, starting from raw data, generates the advises.
Decision support systems to promote health and well-being of people during their working age. The case of the workingage EU project / Resende de Almeida, R. M.; Grau Aberturas, A.; Bueno Aguado, Y.; Atzori, M.; Barenghi, A.; Borghini, G.; Catalina Ortega, C. A.; Comai, S.; Losada Duran, R.; Fugini, M.; Gunes, H.; Musleh Lancis, B.; Pelosi, G.; Ronca, V.; Sbattella, L.; Tedesco, R.; Xu, T.. - 12471:(2020), pp. 336-347. (Intervento presentato al convegno 20th International Conference on Embedded Computer Systems: Architectures, Modeling, and Simulation, SAMOS 2020 tenutosi a Samos) [10.1007/978-3-030-60939-9_24].
Decision support systems to promote health and well-being of people during their working age. The case of the workingage EU project
Borghini G.;Ronca V.;
2020
Abstract
The WorkingAge project aims at improving the psycho-physical condition of workers, with a special focus on ageing subjects. In this context, a Decision Support System, based on a hybrid data-driven/model-driven approach, fed with data coming from environmental and wearable sensors, aims to provide personalised advises to the worker. In this paper we briefly present the WorkingAge project and architecture, and then focus on the decision-making pipeline that, starting from raw data, generates the advises.| File | Dimensione | Formato | |
|---|---|---|---|
|
Resende de Almeida_Decision_2020.pdf
accesso aperto
Tipologia:
Documento in Post-print (versione successiva alla peer review e accettata per la pubblicazione)
Licenza:
Tutti i diritti riservati (All rights reserved)
Dimensione
480.86 kB
Formato
Adobe PDF
|
480.86 kB | Adobe PDF |
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
