Advertisement

A Comparison Between Ambient Assisted Living Systems

  • Molham DarwishEmail author
  • Eric Senn
  • Christophe Lohr
  • Yvon Kermarrec
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8456)

Abstract

The growing number of older people emerges the need to consider autonomy concerns for those people and their need for intensive care. Plenty of researches, such as those in the domain of Ambient Assisted Living Systems, have been carried out to create enhanced conditions for older people and people with disabilities, based on providing ICT solutions that enhance the well-being of elderly people and provide them with well independent daily living. This paper discusses how the efficiency for AAL solutions is achieved, through the identification and introduction of different essential requirements that should be realized to meet the objectives of ALL systems towards their various users, including family members and caregivers. Set of systems has been introduced with their solutions and architectures, to reach the main goal of this work, by evaluating these systems based on the proposed requirements, whether they meet the requirements, by studying system functionalities.

Keywords

Ambient assisted living Interoperability Adaptability Reconfiguration Distributed access points 

References

  1. 1.
  2. 2.
    Tang, L., et al.: MHS: a multimedia system for improving medication adherence in elderly care. IEEE Syst. J. 5(4), 506–517 (2011)CrossRefGoogle Scholar
  3. 3.
    Sun, H., et al.: The missing ones: key ingredients towards effective ambient assisted living systems. J Ambient Intell. Smart Environ. 2(2), 109–210 (2010)Google Scholar
  4. 4.
    Helal, A., Mokhtari, M., Abdulrazak, B.: The Engineering Handbook of Smart Technology for Aging, Disability and Independence (2008). ISBN 978-0-471-71155-1Google Scholar
  5. 5.
    Virone, G., Sixsmith, A.: Toward information systems for ambient assisted living. In: The 6th International Conference of the International Society for Gerontechnology, Pisa, Italy, 4–7 June 2008Google Scholar
  6. 6.
    Liang, Y., et al.: Energy-efficient motion related activity recognition on mobile devices for pervasive healthcare. Mobile Netw. Appl. 19(3), 303–317 (2013)Google Scholar
  7. 7.
    Jean-Baptiste, L., et al.: A design process enabling adaptation and customization of services for the elderly. In: International Workshop on Ambient Assisted Living, Valancia, Spain (2010)Google Scholar
  8. 8.
    Jean-Baptiste, L., et al.: Design process enabling adaptation in pervasive heterogeneous contexts. Pers. Ubiquitous Comput. 15, 353–363 (2011)CrossRefGoogle Scholar
  9. 9.
    Schneider, D., Becker, M.: Runtime models for self-adaptation in the ambient assisted living domain. In: 3rd Workshop on Models@run.time at MODELS 2008. Toulouse, France (2008)Google Scholar
  10. 10.
    Allegre, W.: Flot de conception dirigé par les modèles pour la commande et la supervision de systèmes domotiques d’assistance. Ph.D. thesis, UBS, Lorient (2012)Google Scholar
  11. 11.
    610.12-1990 - IEEE Standard Glossary of Software Engineering Terminology. 31 Dec 1990Google Scholar
  12. 12.
    Lamprinakos, G.:. An integrated architecture for remote healthcare monitoring. In: 14th Panhellenic Conference on Informatics (2010)Google Scholar
  13. 13.
    Perumal, T., et al.: Interoperability among heterogeneous systems in smart home environment. In: IEEE International Conference on Signal Image Technology and Internet Based Systems (2008)Google Scholar
  14. 14.
    Miori, V., Tarrini, L., Manca, M.: An open standard solution for domotic interoperability. IEEE Trans. Consum. Electron. 52(1), 97–103 (2006)CrossRefGoogle Scholar
  15. 15.
    Lankari, S., Philippe, J.L.: Multi-level reconfiguration in the DANAH assistive system. In: IEEE International Conference on Systems, Man and Cybernetics, San Antonio, USA (2009)Google Scholar
  16. 16.
    Lankari, S., et al.: Service reconfiguration in the DANAH assistive system. In: Proceedings of the 7th International Conference on Smart Homes and Health Telematics, France (2009)Google Scholar
  17. 17.
    Lankri, S., et al.: Architecture and models of the DANAH assistive system. In: SIPE 2008: Proceedings of the 3rd International Workshop on Services Integration in Pervasive Environments, New York (2008)Google Scholar
  18. 18.
    Lankri, S.: Services et navigation pour personnes dépendantes en environnements domotiques. Ph.D. thesis, UBS, Lorient (2009)Google Scholar
  19. 19.
    Queirós, A., et al.: Usability, accessibility and ambient-assisted living: a systematic literature review. Universal Access in the Information Society, Oct 2013Google Scholar
  20. 20.
  21. 21.
  22. 22.
  23. 23.
    Coradeschi, S., et al.: GiraffPlus: combining social interaction and long term monitoring for promoting independent living. In: Proceedings of the HSI (2013)Google Scholar
  24. 24.
    Cesta, A., et al.: Steps Toward end-to-end personalized AAL services. In: Workshop Proceedings of the 9th International Conference on Intelligent Environments (2013)Google Scholar
  25. 25.
  26. 26.
    Prestileo, A., di Fiore, R.: inCASA project –Smart telemonitoring. TeleMediCare (2012)Google Scholar
  27. 27.
    M2M Journal, ISSN 1868 – 9558, March 2013. Page 11Google Scholar
  28. 28.
    Lioudakis, G.V.: Introducing privacy-awareness in remote healthcare monitoring. In: 3rd International Symposium on Applied Sciences in Biomedical and Communication Technologies (ISABEL) (2010)Google Scholar
  29. 29.
    Boulos, M.N.K., et al.: Connectivity for healthcare and well-being management: examples from six European projects. Int. J. Environ. Res. Public Health 6, 1947–1971 (2009)CrossRefGoogle Scholar
  30. 30.
    Boulos, M.N.K.: ECAALYX: Towards a real-world ambient assisted living solution that delivers in non-technical environments and is sustainable. In: Proceedings of the Third Middle East Conference of Health Informatics, Beirut, Lebanon (2010)Google Scholar
  31. 31.
    Carroll, R., et al.: Continua: an interoperable personal healthcare ecosystem. IEEE Pervasive Comput. 6, 113–127 (2007). 4 October–DecemberCrossRefGoogle Scholar

Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Molham Darwish
    • 1
    Email author
  • Eric Senn
    • 2
  • Christophe Lohr
    • 1
  • Yvon Kermarrec
    • 1
  1. 1.Ecole Nationale Supérieure des Télécommunications de BretagneTechnopôle Brest-IroiseBrest Cedex 3France
  2. 2.Lab-STICC (CNRS)Centre de Recherche, European University of Brittany, Université de Bretagne-SudLorient CedexFrance

Personalised recommendations