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The PERSONA Service Platform for AAL Spaces

  • Mohammad-Reza Tazari
  • Francesco Furfari
  • Juan-Pablo Lázaro Ramos
  • Erina Ferro

Abstract

The project PERSONA aims at advancing the paradigm of Ambient Intelligence through the harmonization of Ambient Assisted Living (AAL) Technologies and concepts for the development of sustainable and affordable solutions for the independent living of senior citizens. PERSONA is one of the integrated projects funded by the European Commission within the 6th Framework Program for IST (Information Society Technologies) on AAL for the Aging Society. It involves the participation of 21 partners, from Italy, Spain, Germany, Greece, Norway and Denmark, with a total budget of around 12 million Euros.

Keywords

Sensor Node Wireless Sensor Network Composite Service Ambient Intelligence Ambient Assist Live 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. [1]
    AAL: The Ambient Assisted Living Joint Programme – www.aal-europe.eu (2007)
  2. [2]
    ARTEMIS SRA Working Group: The ARTEMIS Strategic Research Agenda. Research Priorities, IST Advanced Research and Technology for Embedded Intelligence in Systems, www.artemis-office.org/DotNetNuke/SRA/tabid/60/Default.aspx (2006)
  3. [3]
    Avatangelou, E., Dommarco, R.F., Klein, M., Müller, S., Nielsen, C.F., Soriano, M.P.S., Schmidt, A., Tazari, M.R., Wichert, R.: Conjoint PERSONA – SOPRANO Workshop. In: Constructing Ambient Intelligence – AmI 2007 Workshops, pp. 448–464. Springer CCIS Series, Darmstadt, Germany (2007)Google Scholar
  4. [4]
    Baronti, P., Pillai, P., Chook, V.W.C., Chessa, S., Gotta, A., Hu, Y.F.: Wireless sensor networks: A survey on the state of the art and the 802.15.4 and ZigBee standards. Computer Communications 30(7), 1655–1695 (2007)CrossRefGoogle Scholar
  5. [5]
    Cervantes, H., Donsez, D., Touseau, L.: An Architecture Description Language for Dynamic Sensor-Based Applications. In: Proceedings of Consumer Communications and Networking Conference (CCNC 2008), pp. 147–151. IEEE, Las Vegas (Nevada USA) (2008)CrossRefGoogle Scholar
  6. [6]
    Costa, P., Mottola, L., Murphy, A.L., Picco, G.P.: Programming Wireless Sensor Networks with the TeenyLIME Middleware. In: Proceedings of the 8th ACM/IFIP/USENIX International Middleware Conference (Middleware 2007). Newport Beach, (CA, USA) (2007)Google Scholar
  7. [7]
    Ducatel, K., Bogdanowicz, M., Scapolo, F., Leijten, J., Burgelman, J.C.: Scenarios for Ambient Intelligence in 2010. ISTAG Report, European Commission – IST Advisory Group, ftp.cordis.europa.eu/pub/ist/docs/istagscenarios2010.pdf (2001)
  8. [8]
    Fides-Valero, A., Freddi, M., Furfari, F., Tazari, M.R.: The PERSONA Framework for Supporting Context-Awareness in Open Distributed Systems. In: To appear in the proceedings of the European conference on Ambient Intelligence – AmI-08. Nuremberg, Germany (2008)Google Scholar
  9. [9]
    Girolami, M., Lenzi, S., Furfari, F., Chessa, S.: SAIL: a Sensor Abstraction and Integration Layer for Context Aware Architectures. In: Proceedings of the 34th EUROMICRO Conference on Software Engineering and Advanced Applications (SEAA 2008), pp. 374–381. IEEE, Parma, Italy (2008)CrossRefGoogle Scholar
  10. [10]
    Gravina, R., Guerrieri, A., et Al., S.I.: SPINE (Signal Processing in Node Environment) framework for healthcare monitoring applications in Body Sensor Networks. White paper, TILAB, spine.tilab.com/papers/2008/DemoSPINE.pdf (2008)
  11. [11]
    Heider, T., Kirste, T.: Architecture considerations for interoperable multimodal assistant systems. In: Proceedings of the 9th International Workshop on Design, Specification, and Verification of Interactive Systems, pp. 403–417. Rostock, Germany (2002)Google Scholar
  12. [12]
    Hellenschmidt, M., Kirste, T.: SODAPOP: A Software Infrastructure Supporting Self-Organization in Intelligent Environments. In: Proceedings of INDIN ’04: the 2nd IEEE International Conference on Industrial Informatics, pp. 479–486. IEEE, Berlin, Germany (2004)CrossRefGoogle Scholar
  13. [13]
    Ambient Intelligence: from vision to reality. ISTAG Report, European Commission – IST Advisory Group, cordis.europa.eu/ist/istag-reports.htm (2003)
  14. [14]
    Janse, M., Vink, P., Georgantas, N.: Amigo Architecture: Service Oriented Architecture for Intelligent Future In-Home Networks. In: Constructing Ambient Intelligence – AmI 2007 Workshops, pp. 371–378. Springer CCIS Series, Darmstadt, Germany (2007)Google Scholar
  15. [15]
    Krakowiak, S.: Middleware Architecture with Patterns and Frameworks. INRIA Rhône-Alpes, France, sardes.inrialpes.fr/∼krakowia/MW-Book/ (2007)
  16. [16]
    Madden, S.R., Franklin, M.J., Hellerstein, J.M., Hong, W.: TinyDB: an acquisitional query processing system for sensor networks. ACM Trans. Database Syst. 30(1), 122–173 (2005). http://dx.doi.org/10.1145/1061318.1061322 CrossRefGoogle Scholar
  17. [17]
    Mayrhofer, R.: Context Prediction based on Context Histories: Expected Benefits, Issues and Current State-of-the-Art. In: Proceedings of ECHISE ’05: 1st International Workshop on Exploiting Context Histories in Smart Environments. Munich, Germany (2005)Google Scholar
  18. [18]
    Molla M.M.; Ahamed, S.: A survey of middleware for sensor network and challenges. In: Proceedings of nternational Conference on Parallel Processing Workshop (ICPP 2006) (2006)Google Scholar
  19. [19]
    Nakashima, H.: Cyber Assist Project for Ambient Intelligence. In: J.C. Augusto, D. Shapiro (eds.) Advances in Ambient Intelligence, pp. 1–20. IOS Press (2007)Google Scholar
  20. [20]
    Neely, S., Stevenson, G., Kray, C., Mulder, I., Connelly, K., Siek, K.A.: Evaluating pervasive and ubiquitous systems. In: J. Hong (ed) The “Conferences” column of PERVASIVE computing 7(3), 85–89. IEEE CS (2008)Google Scholar
  21. [21]
    Seacord, R.C.: Replaceable Components and the Service Provider Interface. In: ICCBSS ’02: Proceedings of the First International Conference on COTS-Based Software Systems, pp. 222–233. Springer-Verlag, London, UK (2002)Google Scholar
  22. [22]
    Tazari, M.R., Grimm, M.: D11 – Report on Context-Awareness and Knowledge Representation. Public deliverable, MUMMY (IST-2001-37365), www.mummy-project.org/downloads.html (2004)
  23. [23]
    Thomson, G., Sacchetti, D., Bromberg, Y.D., Parra, J., Georgantas, N., Issarny, V.: Amigo Interoperability Framework: Dynamically Integrating Heterogeneous Devices and Services. In: Constructing Ambient Intelligence – AmI 2007 Workshops, pp. 421–425. Springer CCIS Series, Darmstadt, Germany (2007)Google Scholar
  24. [24]
    TinyOS Project: www.tinyos.net (2008)
  25. [25]
    Turunen, M.: Jaspis – A Spoken Dialogue Architecture and its Applications. Ph.D. thesis, University of Tampere, Department of Computer Sciences, Finnland (2004)Google Scholar
  26. [26]
    ZigBee Alliance: ZigBee specifications – www.zigbee.org (2006)

Copyright information

© Springer Science+Business Media, LLC 2010

Authors and Affiliations

  1. 1.Fraunhofer-IGDDarmstadtGermany
  2. 2.CNR-ISTIPisaItaly
  3. 3.ITACA-TSBValenciaSpain

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