Abstract
The increasing ageing population worldwide imposes some new challenges to the society like the provision of dependable support while facing a shortage in the numbers of caregivers, increased health costs and the emergence of new diseases. As such there is a great demand for technologies that support the independent and safe living of the elderly and ensuring that they are not socially isolated. Ambient Assisted Living (AAL) technologies have thus emerged to support the elderly people in their daily activities, while removing the need of caregivers being always physically present in order to look after the elderly. The current AAL systems are intelligent enough to take critical decisions in emergency situations like a fall, fire or a cardiac arrest, hence the elderly can live safely and independently. In this abstract, we describe our solution that aims at integrating all relevant functionalities of an AAL system, based on feedback collected from representative users. This work is carried out in the European Union project called CAMI (Artificially intelligent ecosystem for self-management and sustainable quality of life in AAL).
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Kunnappilly, A., Seceleanu, C., Lindén, M.: Do we need an integrated framework for ambient assisted living? In: García, C.R., Caballero-Gil, P., Burmester, M., Quesada-Arencibia, A. (eds.) UCAmI/IWAAL/AmIHEALTH -2016. LNCS, vol. 10070, pp. 52–63. Springer, Heidelberg (2016). doi:10.1007/978-3-319-48799-1_7
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Acknowledgements
Under the EU project AAL-2014-1-08, this work is supported by a grant of the Romanian National Authority for Scientific Research and Innovation, Danish Agency for Science, Technology and Innovation, Swedish Governmental Agency for Innovation System, Polish National Centre for Research and Development, and Swiss Federal Officer for Professional Education and Technology.
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© 2016 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Sorici, A. et al. (2016). CAMI - An Integrated Architecture Solution for Improving Quality of Life of the Elderly. In: Ahmed, M., Begum, S., Raad, W. (eds) Internet of Things Technologies for HealthCare. HealthyIoT 2016. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 187. Springer, Cham. https://doi.org/10.1007/978-3-319-51234-1_23
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DOI: https://doi.org/10.1007/978-3-319-51234-1_23
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