Abstract
Ambient Assisted Living (AAL) technology will play a prominent role in home care when the 65 and older age group doubles to 40 % of the US & EU population by 2050. Driven by these ongoing demographical and social changes in these countries, there is a huge interest in IT-based technologies and services that will enable independent living of people with specific needs. AAL offers a solution for caring for this section of the population both efficacious and cost-effective. In order to pave the way towards adequate AAL system architecture and overall software solution approaches, this paper will (i) briefly present architectural styles of AAL systems with some of the problems they face, (ii) describe service bricks architecture of AAL project eWALL and, (iii) discuss the software technologies used to solve some of the common problems of such systems.
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References
Universal Open Platform and Reference Specification for Ambient Assisted Living: http://www.universaal.org/
Chan, M., Estève, D., Escriba, C., Campo, E.: A review of smart homes—present state and future challenges. Comput. Methods Programs Biomed. 91, 55–81 (2008)
Rashidi, P., Mihailidis, A.: A survey on ambient-assisted living tools for older adults. IEEE J. Biomed. Health Inform. 17, 579–590 (2013)
Fagerberg, G., et al.: Platforms for AAL applications. In: Lukowicz, P., Kunze, K., Kortuem, G. (eds.) EuroSSC 2010. LNCS, vol. 6446, pp. 177–201. Springer, Heidelberg (2010)
Tazari, M., Furfari, F., Fides-Valero, A., Hanke S.; Hoeftberger, O., Kehagias, D., Mosmondor, M., Wichert, R., Wolf, P., Ambient Intelligence and Smart Environments. Handbook of Ambient Assisted Living 2012
Augusto, J.C., Callaghan, V., Cook, D., Kameas, A., Satoh, I., Saba, T., Chorianopoulos, K., Howard, N., Cambria, E., Gupta, V.: Intelligent environments: a manifesto. Hum. Centr. Comput. Inf. Sci. 3, 1–18 (2013)
Becker, M.: Assisted living systems-models, architectures engineering approaches. In: Karshmer, A.I., Nehmer, J., Raffler, H., Tröster, G. (eds.) Software Architecture Trends and Promising Technology for Ambient Assisted Living Systems. Schloss Dagstuhl-Leibniz-Zentrum fuer Informatik, Germany (2008)
de Morais, W.O., Lundström, J., Wickström, N.: active in-database processing to support ambient assisted living systems. Sensors 14, 14765–14785 (2014)
Ewall for Active Long Living project: http://ewallproject.eu
Acknowledgments
This work was supported in part by the Grant Agreement No: 610658, eWALL: eWall for Active Long Living” of the EU Seventh Framework Programme. The authors wish to thank the invaluable help received from all the consortium members.
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© 2015 Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Balabanov, G., Tonchev, K., Koleva, P., Manolova, A., Poulkov, V. (2015). Cloud Based Service Bricks Architecture for Ambient Assisted Living System. In: Atanasovski, V., Leon-Garcia, A. (eds) Future Access Enablers for Ubiquitous and Intelligent Infrastructures. FABULOUS 2015. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 159. Springer, Cham. https://doi.org/10.1007/978-3-319-27072-2_9
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DOI: https://doi.org/10.1007/978-3-319-27072-2_9
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