A Smart Solution for Elders in Ambient Assisted Living

  • Nayat Sánchez-Pi
  • José Manuel Molina
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5602)

Abstract

Ambient Assisted Living (AAL) includes assistance to carry out daily activities, health and activity monitoring, enhancing safety and security, getting access to, medical and emergency systems. Ambient home care systems (AHCS) are specially design for this purpose; they aim at minimizing the potential risks that living alone may suppose for an elder, thanks to their capability of gathering data of the user, inferring information about his activity and state, and taking decisions on it. In this paper, we present several categories of context-aware services. One related to the autonomy enhancement including services like: medication, shopping and cooking. And another which is the emergency assistant category designed for the assistance, prediction and prevention of any emergency occurred addressed to any elder and their caregivers. These services run on the top of an AHCS, which collects data from a network of environmental, health and physical sensors and then there is a context engine, customized on Appear platform that holds the inference and reasoning functionalities.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Schmidt, A.: Interactive context-aware systems interacting with ambient intelligence. IOS Press, Amsterdam (2005)Google Scholar
  2. 2.
    Emiliani, P., Stephanidis, C.: Universal access to ambient intelligence environments: Opportunities and challenges for people with disabilities. IBM Systems Journal 44(3), 605–619 (2005)CrossRefGoogle Scholar
  3. 3.
    World population prospects: The 2006 revision and world urbanization prospects: The, revision. Technical report, Population Division of the Department of Economic and Social Affairs of the United Nations Secretariat (last access: Saturday, February 28, 2009; 12:01:46 AM)Google Scholar
  4. 4.
    Kang, D., Lee, H., Ko, E., Kang, K., Lee, J.: A wearable context aware system for ubiquitous healthcare. In: 28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2006, pp. 5192–5195 (2006)Google Scholar
  5. 5.
    Korel, B.T., Kao, S.: Addressing context awareness techniques in body sensor networks. In: 21st International Conference on Advanced Information Networking and Applications Workshops 2007, pp. 798–803 (2007)Google Scholar
  6. 6.
    Baek, S.H., Choi, E.C., Huh, J.D.: Design of information management model for sensor based context-aware service in ubiquitous home. In: Int. Conf. on Convergence Information Technology, Gyeongju, Republic of Korea, November 2007, pp. 1040–1047 (2007)Google Scholar
  7. 7.
    Lee, H., Kim, J., Huh, J.: Context-aware based mobile service for ubiquitous home. In: 8th Int. Conf. Advanced Communication Technology, Feburary 2006, vol. 3 (2006)Google Scholar
  8. 8.
    Helal, S., Giraldo, C., Kaddoura, Y., Lee, C., Zabadani, H.E., Mann, W.: Smart phone based cognitive assistant. In: Proc. UbiHealth 2003 (October 2003)Google Scholar
  9. 9.
    Agarawala, A., Greenberg, S., Ho, G.: The context-aware pill bottle and medication monitor. In: Video Proceedings and Proceedings Supplement of the UBICOMP 2004 (2004)Google Scholar
  10. 10.
    Rentto, K., Korhonen, I., Vaatanen, A., Pekkarinen, L., Tuomisto, T., Cluitmans, L., Lappalainen, R.: Users’ preferences for ubiquitous computing applications at home. In: First European Symposium on Ambient Intelligence 2003, Veldhoven, The Netherlands (2003)Google Scholar
  11. 11.
    Becker, M., Werkman, E., Anastasopoulos, M., Kleinberger, T.: Approaching ambient intelligent home care system. In: Pervasive Health Conference and Workshops 2006, pp. 1–10 (2006)Google Scholar
  12. 12.
    Floeck, M., Litz, L.: Integration of home automation technology into an assisted living concept. Assisted Living Systems-Models, Architectures and Engineering Approaches (2007)Google Scholar
  13. 13.
    Fraile, J., Bajo, J., Corchado, J.: Amade: Developing a multi-agent architecture for home care environments. In: 7th Ibero-American Workshop in Multi-Agent Systems (2008)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Nayat Sánchez-Pi
    • 1
  • José Manuel Molina
    • 1
  1. 1.Computer Science DepartmentCarlos III University of MadridMadrid

Personalised recommendations