Leader: Pietro Aleardo Siciliano (CNR). Collaborators: Paolo Barsocchi (CNR); Luca Francioso (CNR)
The Smart Living Environments (SLE) is the place in which data and signals related to environment, activities, behaviour and health of aging people can be collected in a non obtrusive and natural way, respecting privacy and enabling innovative personal services. The first objective is thus to develop new generation sensing technologies with defined targets about performances, costs and usability. The second objective is to process data using AI to measure and predict well-being and support services for the quality of life of aging people (as defined in other spokes). This WP will focus on the development of new sensors and sensor networks integrated in the SLE, i.e. home, working environment and outdoor urban spaces. New generation wearable and non-invasive sensing techniques will be considered as well for health, psychological, physical, emotional, social and comfort related quantities. A specific focus will be on the efficient solution of the multi-resident scenario. Environmental monitoring will be included since the environment influence people well-being and can be integrated with energy and facility management. Heterogeneous data sets will be analysed through the use of data fusion and AI techniques to extract higher level information.