Abstract
Novel information and communication technologies create possibilities to change the future of health care and support. Ambient Assisted Living (AAL) is seen as a promising alternative to the current care models so a number of researchers have developed AAL systems with promising results. The main goal of AAL solutions is to apply ambient intelligence technologies to enable people with specific needs to continue to live in their preferred environments. In this paper, we are presenting a general architecture of system for assisted living that supports most of the use cases for such system.
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References
Korhonen, I., Parkka, J., Van Gils, M.: Health monitoring in the home of the future. IEEE Eng. Med. Biol. 22(3), 66–73 (2003)
Cocosila, M., Archer, N.: Adoption of mobile ict for health promotion: an empirical investigation. Electron. Markets 20(3–4), 241–250 (2010)
Cardinaux, F., Bhowmik, D., Abhayaratne, C., Hawley, M.S.: Video based technology for ambient assisted living: A review of the literature. J. Ambient Intell. Smart Environ. 3(3), 253–269 (2011)
Takács, B., Hanák, D.: A mobile system for assisted living with ambient facial interfaces. Int. J. Comput. Sci. Inf. Syst. 2(2), 33–50 (2007)
Kleinberger, T., Jedlitschka, A., Storf, H., Steinbach-Nordmann, S., Prueckner, S.: An approach to and evaluations of assisted living systems using ambient intelligence for emergency monitoring and prevention. In: Stephanidis, C. (ed.) UAHCI 2009, Part II. LNCS, vol. 5615, pp. 199–208. Springer, Heidelberg (2009)
Sun, H., De Florio, V., Gui, N., Blondia, C.: Promises and challenges of ambient assisted living Systems. In: Proceedings of the 6th International Conference on Information Technology: New Generations, Las Vegas NV, 27–29 April 2009, pp. 1201–1207 (2009)
Memon, M., Wagner, S.R., Pedersen, C.F., Beevi, F.H.A., Hansen, F.O.: Ambient assisted living healthcare frameworks, platforms, standards, and quality attributes. Sensors 14, 4312–4341 (2014)
Gunter, T.D., Terry, N.P.: The emergence of national electronic health record architectures in the United States and Australia: Models, costs, and questions. J. Med. Internet Res. 7(1), e3 (2005)
Tang, P., Ash, J., Bates, D., Overhage, J., Sands, D.: Personal health records: definitions, benefits, and strategies for overcoming barriers to adoption. JAMIA 13(2), 121–126 (2006)
Knaup, P., Schöpe, L.: Using data from ambient assisted living and smart homes in electronic health records. Methods Inf. Med. 53, 149–151 (2004)
http://www.hl7.org. Accessed 06 August 2014
http://www.continuaalliance.org. Accessed 06 August 2014
http://www.etsi.org/standards. Accessed 06 August 2014
http://www.aal-europe.eu. Accessed 06 August 2014
Viron, G, Sixsmith A (2008) Toward Information Systems for Ambient Assisted Living. In: Proceedings of the 6th International Conference of the International Society for Gerontechnology, Pisa, Tuscany, Italy, 4–7 June 2008
Hill C, Grant R, Yeung I (2013) Ambient Assisted Living Technology. An interactive qualifying project report submitted to the Faculty of Worcester Polytechnic Institute
Mikalsen M, Hanke S, Fuxreiter T, Walderhaug S, Wienhofen L (2009) Interoperability Services in the MPOWER Ambient Assisted Living Platform. In: Medical Informatics Europe (MIE) Conference, Sarajevo, 30 August–2 September 2009
Ruiz-Zafra, Á., Benghazi, K., Noguera, M., Garrido, J.L.: Zappa: An open mobile platform to build cloud-based m-health systems. In: van Berlo, A., Hallenborg, K., Rodríguez, J.M.C., Tapia, D.I., Novais, P. (eds.) Ambient Intelligence - Software and Applications. AISC, vol. 219, pp. 87–94. Springer, Heidelberg (2013)
Wood, A., Stankovic, J., Virone, G., Selavo, L., He, Z., Cao, Q., Doan, T., Wu, Y., Fang, L., Stoleru, R.: Context-aware wireless sensor networks for assisted living and residential monitoring. IEEE Netw. 22(4), 26–33 (2008)
López-de-Ipiña, D., Díaz-de-Sarralde, I., García-Zubia, J.: An ambient assisted living platform integrating RFID data-on-tag care annotations and twitter. J. Univers. Comput. Sci. 16(12), 1521–1538 (2010)
Jara, A.J., Zamora, M.A., Skarmeta, A.F.G.: An internet of things–based personal device for diabetes therapy management in ambient assisted living (AAL). Pers. Ubiquit. Comput. 15, 431–440 (2011)
Mileo, A., Merico, D., Bisiani, R.: Support for context-aware monitoring in home healthcare. J. Ambient Intell. Smart Environ. 2(1), 49–66 (2010)
http://www.assistedlivingtechnologies.com/remote-monitoring-elderly/11-beclose.html. Accessed 28 June 2014
http://www.mybasis.com/blog/2013/11/body-iq-intelligence-the-most-advanced-way-to-recognize-activity-sleep-and-caloric-burn/. Accessed 28 June 2014
http://appleinsider.com/futures/iwatch. Accessed 28 June 2014
Liolios, C., Doukas, C., Fourlas, G., Maglogiannis, I.: An overview of body sensor networks in enabling pervasive healthcare and assistive environments. In: Proceedings of the 3rd International Conference on PErvasive Technologies Related to Assistive Environments, Samos, Greece, 23–25 June 2010
Nugent, C.D., Galway, L., Chen, L., Donnelly, M.P., McClean, S.I., Zhang, S., Scotney, B.W., Parr, G.: Managing sensor data in ambient assisted living. J. Comput. Sci. Eng. 5(3), 237–245 (2011)
Gama, O., Carvalho, P., Alfonso, J.A., Mendes, P.M.: Quality of service support in wireless sensor networks for emergency healthcare services. In: Proceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, pp. 1296–1299. IEEE Computer Society (2008)
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The authors would also like to acknowledge the contribution of the COST Action IC1303 - AAPELE, Architectures, Algorithms and Platforms for Enhanced Living Environments.
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Trajkovik, V., Vlahu-Gjorgievska, E., Koceski, S., Kulev, I. (2015). General Assisted Living System Architecture Model. In: Agüero, R., Zinner, T., Goleva, R., Timm-Giel, A., Tran-Gia, P. (eds) Mobile Networks and Management. MONAMI 2014. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 141. Springer, Cham. https://doi.org/10.1007/978-3-319-16292-8_24
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