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Issue title: Special section: Selected papers of LKE 2019
Guest editors: David Pinto, Vivek Singh and Fernando Perez
Article type: Research Article
Authors: Gomez-Montalvo, Jorgea; * | Lopez, Melchorb | Curi, Fernandoa | Moo-Mena, Franciscoa | Menendez, Victora
Affiliations: [a] Faculty of Mathematics, Autonomous University of Yucatan, Merida, Mexico | [b] Computing Department of Albo, Darwin 32, Anzures, Mexico City, Mexico
Correspondence: [*] Corresponding author. Jorge Gomez-Montalvo, Faculty of Mathematics, Autonomous University of Yucatan, Merida, Mexico. Tel.: +(52)9999423140. E-mail: jgomez@correo.uady.mx.
Abstract: In this paper, we introduce a Platform for Non-Intrusive Assistance (named PIANI), as an assistance platform for elderly people able to do activities in outdoor environments without strict supervision. PIANI includes an ontology used to characterize outdoor activities of interest (activities to be observed). PIANI also defines a risk level of the activity that an elderly person is currently doing out of his home by comparing such activity to its characterization. In addition, the proposed platform uses the smartphone of the person in order to collect geographic and time information, which is used by PIANI to infer activity risk and send alert notifications based on semantic knowledge base. An experimental test was developed as a proof of concept about the utilization of PIANI to identify outdoors activities of elderly people, compute a level of risk and finally send non intrusive alert notification to the user.
Keywords: Ambient assisted living, outdoor activity recognition, ontologies
DOI: 10.3233/JIFS-179893
Journal: Journal of Intelligent & Fuzzy Systems, vol. 39, no. 2, pp. 2317-2329, 2020
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