A multi-modal sensor infrastructure for healthcare in a residential environment

Pete Woznowski, Xenofon Fafoutis, Terence Song, Sion Hannuna, Massimo Camplani, Lili Tao, Adeline Paiement, Evangelos Mellios, Mo Haghighi, Ni Zhu, Geoffrey Hilton, Dima Damen (Aldamen), Tilo Burghardt, Majid Mirmehdi, Robert Piechocki, Dritan Kaleshi, Ian Craddock

Research output: Chapter in Book/Report/Conference proceedingConference Contribution (Conference Proceeding)

37 Citations (Scopus)
389 Downloads (Pure)

Abstract

Ambient Assisted Living (AAL) systems based on sensor technologies are seen as key enablers to an ageing society. However, most approaches in this space do not provide a truly generic ambient space - one that is not only capable of assisting people with diverse medical conditions, but can also recognise the habits of healthy habitants, as well as those with developing medical conditions. The recognition of Activities of Daily Living (ADL) is key to the understanding and provisioning of appropriate and efficient care. However, ADL recognition is particularly difficult to achieve in multi-resident spaces; especially with single-mode (albeit carefully crafted) solutions, which only have limited capabilities. To address these limitations we propose a multi-modal system architecture for AAL remote healthcare monitoring in the home, gathering information from multiple, diverse (sensor) data sources. In this paper we report on developments made to-date in various technical areas with respect to critical issues such as cost, power consumption, scalability, interoperability and privacy.

Original languageEnglish
Title of host publication2015 IEEE International Conference on Communication Workshop, ICCW 2015
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages271-277
Number of pages7
ISBN (Print)9781467363051
DOIs
Publication statusPublished - 14 Sep 2015
EventIEEE International Conference on Communication Workshop, ICCW 2015 - London, United Kingdom
Duration: 8 Jun 201512 Jun 2015

Publication series

NameICCW
ISSN (Electronic)2164-7038

Conference

ConferenceIEEE International Conference on Communication Workshop, ICCW 2015
CountryUnited Kingdom
CityLondon
Period8/06/1512/06/15

Structured keywords

  • Digital Health

Keywords

  • Ambient Assisted Living
  • Ambient Intelligence
  • eHealth
  • Internet of Things

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  • Projects

    SPHERE (EPSRC IRC)

    Craddock, I. J., Coyle, D. T., Flach, P. A., Kaleshi, D., Mirmehdi, M., Piechocki, R. J., Stark, B. H., Ascione, R., Ashburn, A. M., Burnett, M. E., Aldamen, D., Gooberman-Hill, R. J. S., Harwin, W. S., Hilton, G., Holderbaum, W., Holley, A. P., Manchester, V. A., Meller, B. J., Stack, E. & Gilchrist, I. D.

    1/10/1330/09/18

    Project: Research, Parent

    Cite this

    Woznowski, P., Fafoutis, X., Song, T., Hannuna, S., Camplani, M., Tao, L., Paiement, A., Mellios, E., Haghighi, M., Zhu, N., Hilton, G., Damen (Aldamen), D., Burghardt, T., Mirmehdi, M., Piechocki, R., Kaleshi, D., & Craddock, I. (2015). A multi-modal sensor infrastructure for healthcare in a residential environment. In 2015 IEEE International Conference on Communication Workshop, ICCW 2015 (pp. 271-277). [7247190] (ICCW). Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/ICCW.2015.7247190