Advertisement

homeML – An Open Standard for the Exchange of Data Within Smart Environments

  • C. D. Nugent
  • D. D. Finlay
  • R. J. Davies
  • H. Y. Wang
  • H. Zheng
  • J. Hallberg
  • K. Synnes
  • M. D. Mulvenna
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4541)

Abstract

This work describes a potential solution to the problems caused by the heterogeneous nature of the data which may be collected within smart home environments. Such information may be generated at an intra- or inter-institutional level following laboratory testing or based on in-situ evaluations. We offer a solution to this problem in the form of a system/application/format independent means of storing such data. This approach will inevitably support the exchange of data within the research community and form the basis of the establishment of an openly accessible data repository. Within this abstract we present the outline design of homeML, an XML based schema for representation of information within smart homes and through exemplars demonstrate the potential of such an approach. An example of the typical type of software browser required for the data representation is also presented.

Keywords

Smart environments heterogeneous data xml schema data repository 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Dittmar, A., Axisa, F., Delhomme, G., Gehin, C.: New concepts and technologies in home care and ambulatory monitoring. In: Lymberis, A., de Rossi, D. (eds.) Wearable eHealth Systems for Personalised Health Management: State of the Art and Future Challenges, pp. 9–35. IOS Press, Amsterdam (2004)Google Scholar
  2. 2.
    Philipose, M., Fishkin, K.P., Perkowitz, M., Patterson, D.J., Fox, D., Kautz, H., Hahnel, D.: Inferring activities from interactions with objects. IEEE Pervasive Computing, pp. 50–57 (2004)Google Scholar
  3. 3.
    Helal, S., Mann, W., El-Zabadani, H., King, J., Kaddoura, Y., Jansen, E.: The gator tech smart house: a programmable pervasive space. IEEE Computer, pp. 64–74 (2005)Google Scholar
  4. 4.
    Pollack, M.: Intelligent technology for an aging population: the use of ai to assist elders with cognitive impairment. AI Magazine, pp. 1–27 (2005)Google Scholar
  5. 5.
    PhysioNet, The research resource for complex physiologic signals http://ww.physionet.org
  6. 6.
    Open ECG Portal http://www.openecg.net/
  7. 7.
    OSGi - The dynamic module system for Java http://ww.osgi.org
  8. 8.
    Konnex - Open standard for home and building control http://ww.konnex.org
  9. 9.
    Health Level Seven http://ww.hl7.org
  10. 10.
    Extensible Markup Language (XML) http://www.w3.org/XML/
  11. 11.
    Wang, H., Azuaje, F., Jung, B., Black, N.: A markup language for electrocardiogram data acquisition and analysis (ecgML). BMC Medical Informatics and Decision Making 3 (2003)Google Scholar
  12. 12.
    Feki, M., Abdulrazak, B., Mokhtari, M.: XML modelisation of smart home environment. In: Proceedings of the 1st International Conference on Smart homes and health Telematics, pp. 55–60 (2001)Google Scholar
  13. 13.
    Ohmori, Y., Ouchi, K., Hattori, M., Doi, M.: An xml based multimedia data acquisition and data retrieval with wearable computers. In: Proceedings of the 21st International Conference on Distributed Computing Systems Workshop, pp. 272–277 (2001)Google Scholar

Copyright information

© Springer Berlin Heidelberg 2007

Authors and Affiliations

  • C. D. Nugent
    • 1
  • D. D. Finlay
    • 1
  • R. J. Davies
    • 1
  • H. Y. Wang
    • 1
  • H. Zheng
    • 1
  • J. Hallberg
    • 2
  • K. Synnes
    • 2
  • M. D. Mulvenna
    • 1
  1. 1.School of Computing and Mathematics, University of UlsterN. Ireland
  2. 2.LuleåUniversity of TechnologySweden

Personalised recommendations