WorkingAge: Providing Occupational Safety through Pervasive Sensing and Data Driven Behavior Modeling

Autor: Mariagrazia Fugini, Alessandro Barenghi, Sara Comai, Gerardo Pelosi, Roberto Tedesco, Marteyn van Gasteren, Car- los Alberto Catalina, Estefanía Arribas Leal, Raquel Losada Durán, Rosa Maria Martins de Almeida, Alexander Mer- tens,Vera Rick, Hatice Gunes, Tian Xu, Gianluca Borghini, Vincenzo Ronca, Hesam Sagha
Jazyk: angličtina
Rok vydání: 2020
Předmět:
Popis: 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 improvingboth 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 realityor gesture/voice/noise recognition or gaze tracking) to improve the users’ psychological/emotional/health state atworkplaces. Based on Internet of Things (IoT) technologies and on data driven models of the users’ characteristicsand behaviors, the WA Tool will monitor the state of users to automatically provide a set of suggestions promotinghealthy habits in their working environment as well as in their daily living activities. The paper presents generalconcepts 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.
Databáze: OpenAIRE