Abstract
In this article we present our contributions from projects addressing Active and Assisted Living (AAL), a field which can have a considerable impact on elderly care by allowing not only preventive and predictive actions (e.g. monitoring and assessment of health parameters, sleep and mobility patterns) but also personalized care through intelligent solutions which relay on robotic platforms. The latter can also provide active support and intervention in critical situations such as fall detection and hazard identification. We are focusing on the outcome of the user-centered design involved in the projects and on some of the novel technologies which confer novelty and intelligence to our development. The main results from a multinational survey and conjoint analysis are also presented. The authors gratefully acknowledge the contribution of the IONIS consortium partners.
This work was supported by a grant of the Romanian National Authority for Scientific Research and Innovation, the AAL Program with co-funding from the Horizon 2020 program projects “IONIS – Improving the quality of life of people with dementia and disabled persons” – AAL2017-AAL-2016-074-IONIS-1 and AAL-2016-074-IONIS-2 and – INCARE – Integrated Solution for Innovative Elderly Care”, project number AAL-2017-059-INCARE, by the Slovenia Ministry of Public Administration and by the subsidiary contract “CoRSAr” no. 1226/22.01.2018 for the grant 53/05.09.2016, ID 40270, cod MySMIS: 105976.
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Brenčič, N.S., Dragoi, M., Mocanu, I., Winiarski, T. (2020). Intuitive and Intelligent Solutions for Elderly Care. In: Chaari, L. (eds) Digital Health in Focus of Predictive, Preventive and Personalised Medicine. Advances in Predictive, Preventive and Personalised Medicine, vol 12. Springer, Cham. https://doi.org/10.1007/978-3-030-49815-3_12
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