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Activities of Daily Living Ontology for Ubiquitous Systems: Development and Evaluation

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...

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Autores principales: Woznowski, Przemysław R., Tonkin, Emma L., Flach, Peter A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6068475/
https://www.ncbi.nlm.nih.gov/pubmed/30037001
http://dx.doi.org/10.3390/s18072361
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author Woznowski, Przemysław R.
Tonkin, Emma L.
Flach, Peter A.
author_facet Woznowski, Przemysław R.
Tonkin, Emma L.
Flach, Peter A.
author_sort Woznowski, Przemysław R.
collection PubMed
description 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.
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spelling pubmed-60684752018-08-07 Activities of Daily Living Ontology for Ubiquitous Systems: Development and Evaluation Woznowski, Przemysław R. Tonkin, Emma L. Flach, Peter A. Sensors (Basel) Article 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. MDPI 2018-07-20 /pmc/articles/PMC6068475/ /pubmed/30037001 http://dx.doi.org/10.3390/s18072361 Text en © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Woznowski, Przemysław R.
Tonkin, Emma L.
Flach, Peter A.
Activities of Daily Living Ontology for Ubiquitous Systems: Development and Evaluation
title Activities of Daily Living Ontology for Ubiquitous Systems: Development and Evaluation
title_full Activities of Daily Living Ontology for Ubiquitous Systems: Development and Evaluation
title_fullStr Activities of Daily Living Ontology for Ubiquitous Systems: Development and Evaluation
title_full_unstemmed Activities of Daily Living Ontology for Ubiquitous Systems: Development and Evaluation
title_short Activities of Daily Living Ontology for Ubiquitous Systems: Development and Evaluation
title_sort activities of daily living ontology for ubiquitous systems: development and evaluation
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6068475/
https://www.ncbi.nlm.nih.gov/pubmed/30037001
http://dx.doi.org/10.3390/s18072361
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