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Article type: Research Article
Authors: Martínez-Santiago, Fernandoa; * | García-Viedma, M. Rosarioe | Williams, John A.b; c; d | Slater, Luke T.b; c | Gkoutos, Georgios V.b; c
Affiliations: [a] SINAI Group, Computer Science Department, University of Jaén, Spain | [b] Institute of Cancer and Genomic Sciences, University of Birmingham, Birmingham, UK | [c] Institute of Translational Medicine, University Hospitals Birmingham NHS Foundation Trust, Birmingham, UK | [d] MRC Harwell Institute, Mammalian Genetics Unit, Harwell Campus, UK | [e] Psychology Department, University of Jaén, Spain
Correspondence: [*] Corresponding author. E-mail: [email protected].
Note: [] Accepted by: John Bateman
Abstract: It is known that the aging process entails a cognitive decline in certain processes such as attention, episodic memory, working memory, processing speed and executive functions. In recent years, efforts have been made to investigate the potential of Information and Communication Technologies to improve cognitive functioning and quality of life in older adults with and without cognitive impairments. In this paper, we propose the Aging Neuro-Behaviour Ontology (ANBO), a formal model of cognitive processes involved in day-to-day living and whose performance usually decline with age. ANBO has been created with the aim of being an aid in developing tools for cognitive rehabilitation by means of integrating aging-related behaviors with monitoring activities of daily living. As an example of these tools, we introduce an integration of ANBO with the Ontology SmartLab Elderly (OSLE), an ontology related with Telehealth Smart Homes wherein activities of daily living are recorded. This ANBO and OSLE integration enable the interpretation of these activities as the result of cognitive processes of interest in the domain of elderly decline.
Keywords: Elderly, neuro-psychology, ontology engineering, ambient intelligence
DOI: 10.3233/AO-200229
Journal: Applied Ontology, vol. 15, no. 2, pp. 219-239, 2020
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