The aging of the working population calls for innovative approaches to monitor and support the changes of physical,physiological and psycho-social capabilities of workers over time, as well as to promote habits aimed at improving both health and productivity. This paper presents the WorkingAge (Smart Working Environments for All Ages - WA)project, which focuses on innovative Human Computer Interaction methods (such as augmented and/or virtual reality or gesture/voice/noise recognition or gaze tracking) to improve the users’ psychological/emotional/health state at workplaces. Based on Internet of Things (IoT) technologies and on data driven models of the users’ characteristics and behaviors, the WA Tool will monitor the state of users to automatically provide a set of suggestions promoting healthy habits in their working environment as well as in their daily living activities. The paper presents at the basis of the WA project, its hardware-software sensor architecture, and the elements of the ontology capturing the key concepts of the data collected to profile the users .

Workingage: providing occupational safety through pervasive Sensing and data driven behavior modeling / Fugini, M.; Barenghi, A.; Comai, S.; Pelosi, G.; Tedesco, R.; van Gasteren, M.; Catalina, C. A.; Arribas Leal, E.; Losada Durán, R.; Martins de Almeida, R. M.; Mertens, A.; Rick, V.; Gunes, H.; Xu, T.; Borghini, G.; Ronca, V.; Sagha, H.. - (2020), pp. 3194-3201. (Intervento presentato al convegno 30th European Safety and Reliability Conference and the 15th Probabilistic Safety Assessment and Management Conference tenutosi a Venice, Italy) [10.13140/rg.2.2.12718.05444].

Workingage: providing occupational safety through pervasive Sensing and data driven behavior modeling

Borghini, G.;Ronca, V.;
2020

Abstract

The aging of the working population calls for innovative approaches to monitor and support the changes of physical,physiological and psycho-social capabilities of workers over time, as well as to promote habits aimed at improving both health and productivity. This paper presents the WorkingAge (Smart Working Environments for All Ages - WA)project, which focuses on innovative Human Computer Interaction methods (such as augmented and/or virtual reality or gesture/voice/noise recognition or gaze tracking) to improve the users’ psychological/emotional/health state at workplaces. Based on Internet of Things (IoT) technologies and on data driven models of the users’ characteristics and behaviors, the WA Tool will monitor the state of users to automatically provide a set of suggestions promoting healthy habits in their working environment as well as in their daily living activities. The paper presents at the basis of the WA project, its hardware-software sensor architecture, and the elements of the ontology capturing the key concepts of the data collected to profile the users .
2020
30th European Safety and Reliability Conference and the 15th Probabilistic Safety Assessment and Management Conference
occupational safety for elderly, occupational ontology, health at workplaces
04 Pubblicazione in atti di convegno::04b Atto di convegno in volume
Workingage: providing occupational safety through pervasive Sensing and data driven behavior modeling / Fugini, M.; Barenghi, A.; Comai, S.; Pelosi, G.; Tedesco, R.; van Gasteren, M.; Catalina, C. A.; Arribas Leal, E.; Losada Durán, R.; Martins de Almeida, R. M.; Mertens, A.; Rick, V.; Gunes, H.; Xu, T.; Borghini, G.; Ronca, V.; Sagha, H.. - (2020), pp. 3194-3201. (Intervento presentato al convegno 30th European Safety and Reliability Conference and the 15th Probabilistic Safety Assessment and Management Conference tenutosi a Venice, Italy) [10.13140/rg.2.2.12718.05444].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1487344
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