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.
Dettaglio pubblicazione
2020, Embedded Computer Systems. Architectures, Modeling, and Simulation. Proceedings of 20th International Conference, SAMOS 2020 Samos, Greece, July 5–9, 2020, Pages 336-347 (volume: 12471)
Decision Support Systems to Promote Health and Well-Being of People During Their Working Age. The Case of the WorkingAge EU Project (04b Atto di convegno in volume)
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.
ISBN: 978-3-030-60938-2; 978-3-030-60939-9
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