Activities of daily living ontology for ubiquitous systems: Development and evaluation

Przemysław R. Woznowski, Emma L. Tonkin*, Peter A. Flach

*Corresponding author for this work

Research output: Contribution to journalArticle (Academic Journal)

3 Citations (Scopus)
345 Downloads (Pure)

Abstract

Ubiquitous eHealth systems based on sensor technologies are seen as key enablers in the effort to reduce the financial impact of an ageing society. At the heart of such systems sit activity recognition algorithms, which need sensor data to reason over, and a ground truth of adequate quality used for training and validation purposes. The large set up costs of such research projects and their complexity limit rapid developments in this area. Therefore, information sharing and reuse, especially in the context of collected datasets, is key in overcoming these barriers. One approach which facilitates this process by reducing ambiguity is the use of ontologies. This article presents a hierarchical ontology for activities of daily living (ADL), together with two use cases of ground truth acquisition in which this ontology has been successfully utilised. Requirements placed on the ontology by ongoing work are discussed.

Original languageEnglish
Article number2361
Number of pages23
JournalSensors
Volume18
Issue number7
Early online date18 Jul 2018
DOIs
Publication statusPublished - Jul 2018

Structured keywords

  • Digital Health

Keywords

  • Activities of daily living
  • Ontology development
  • Ontology validation
  • Post-hoc annotation
  • Self-annotation

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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

    Datasets

    SPHERE ADL ontology

    Woznowski, P. (Creator), Dr Rachel King, U. O. R. (Contributor) & Holley, A. (Data Manager), University of Bristol, 7 Mar 2016

    Dataset

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