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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Original languageEnglish
Title of host publication2015 IEEE International Conference on Communication Workshop, ICCW 2015
Publisher or commissioning bodyInstitute of Electrical and Electronics Engineers (IEEE)
Number of pages7
ISBN (Print)9781467363051
DatePublished - 14 Sep 2015
EventIEEE International Conference on Communication Workshop, ICCW 2015 - London, United Kingdom
Duration: 8 Jun 201512 Jun 2015

Publication series

ISSN (Electronic)2164-7038


ConferenceIEEE International Conference on Communication Workshop, ICCW 2015
CountryUnited Kingdom


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.

    Research areas

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

    Structured keywords

  • Digital Health


IEEE International Conference on Communication Workshop, ICCW 2015

Duration8 Jun 201512 Jun 2015
CountryUnited Kingdom

Event: Conference

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  • Full-text PDF (accepted author manuscript)

    Rights statement: This is the author accepted manuscript (AAM). The final published version (version of record) is available online via IEEE at . Please refer to any applicable terms of use of the publisher.

    Accepted author manuscript, 2.89 MB, PDF document


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