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

A. Barenghi;S. Comai;M. Fugini;G. Pelosi;L. Sbattella;R. Tedesco;
2020-01-01

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.
2020
20th International Conference on Embedded Computer Systems: Architectures, Modeling, and Simulation, SAMOS 2020; Samos; Greece July 5-9, 2020, Proceedings
978-303060938-2
Decision support systems, Behavioral research, Occupational Safety, Occupational ontology, Embedded systems, Behavioral research, Suggestion of health strategies
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11311/1150487
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