Abstract
Ageing of the population will result in significant social changes in the years to come. A way to cope with social impacts produced by growing seniority is to design and provide services for elderly people to improve their quality of life by means of ICT solutions, both fixed and mobile (wearable and not), pervasive and with low invasiveness according to Ambient Intelligence (AmI) paradigms. The Active Ageing At Home project strived to realize a Personal Guidance System to guide people’s behavior and habits for their benefit, their well-being and to stimulate preventive actions. The goal is to allow individuals to have an active role in managing their own health and in maintaining good health conditions by showing them their “virtual model”, which reflects their specific characteristics in terms of personal profile, risk factors, tastes and personal preferences, eating habits, level of physical activity, sleep/wake rhythm and as such improves their self-awareness in the direction of healthy and wellbeing-favorable behaviors.
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Acknowledgements
The authors gratefully acknowledge the financial support from the Italian Ministry of University and Research (MIUR) in the project “Active Ageing at Home” (CTN01_00128_297061, Area TAV—Tecnologie per gli Ambienti di Vita). This work draws from previous papers, on courtesy from Marco Pistoia, Paolo Casacci, Gianfranco Raimondi, Giuseppe Sancesario, Beatrice Scordamaglia and Gaia Melchiorri, whom the authors thank.
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Pistoia, M., Parata, C., Giugni, P., Urlini, G., Loi, S., Borrelli, G. (2019). Virtual Modeling of the Elderly to Improve Health and Wellbeing Status: Experiences in the Active Ageing at Home Project. In: Casiddu, N., Porfirione, C., Monteriù, A., Cavallo, F. (eds) Ambient Assisted Living. ForItAAL 2017. Lecture Notes in Electrical Engineering, vol 540. Springer, Cham. https://doi.org/10.1007/978-3-030-04672-9_5
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DOI: https://doi.org/10.1007/978-3-030-04672-9_5
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