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

Research output: Contribution to journalArticle

Original languageEnglish
Article number2361
Number of pages23
JournalSensors
Volume18
Issue number7
Early online date18 Jul 2018
DOIs
DateAccepted/In press - 6 Jul 2018
DateE-pub ahead of print - 18 Jul 2018
DatePublished (current) - Jul 2018

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.

    Research areas

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

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