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Ontology-Based Framework for the Automatic Recognition of Activities of Daily Living Using Class Expression Learning Techniques
Joint Authors
Espinilla, Macarena
Medina, Javier
Salguero, Alberto G.
Delatorre, Pablo
Tomeu, Antonio J.
Source
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-19, 19 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-04-01
Country of Publication
Egypt
No. of Pages
19
Main Subjects
Abstract EN
The miniaturization and price reduction of sensors have encouraged the proliferation of smart environments, in which multitudinous sensors detect and describe the activities carried out by inhabitants.
In this context, the recognition of activities of daily living has represented one of the most developed research areas in recent years.
Its objective is to determine what daily activity is developed by the inhabitants of a smart environment.
In this field, many proposals have been presented in the literature, many of them being based on ad hoc ontologies to formalize logical rules, which hinders their reuse in other contexts.
In this work, we propose the use of class expression learning (CEL), an ontology-based data mining technique, for the recognition of ADL.
This technique is based on combining the entities in the ontology, trying to find the expressions that best describe those activities.
As far as we know, it is the first time that this technique is applied to this problem.
To evaluate the performance of CEL for the automatic recognition of activities, we have first developed a framework that is able to convert many of the available datasets to all the ontology models we have found in the literature for dealing with ADL.
Two different CEL algorithms have been employed for the recognition of eighteen activities in two different datasets.
Although all the available ontologies in the literature are focused on the description of the context of the activities, the results show that the sequence of the events produced by the sensors is more relevant for their automatic recognition, in general terms.
American Psychological Association (APA)
Salguero, Alberto G.& Delatorre, Pablo& Medina, Javier& Espinilla, Macarena& Tomeu, Antonio J.. 2019. Ontology-Based Framework for the Automatic Recognition of Activities of Daily Living Using Class Expression Learning Techniques. Scientific Programming،Vol. 2019, no. 2019, pp.1-19.
https://search.emarefa.net/detail/BIM-1210730
Modern Language Association (MLA)
Salguero, Alberto G.…[et al.]. Ontology-Based Framework for the Automatic Recognition of Activities of Daily Living Using Class Expression Learning Techniques. Scientific Programming No. 2019 (2019), pp.1-19.
https://search.emarefa.net/detail/BIM-1210730
American Medical Association (AMA)
Salguero, Alberto G.& Delatorre, Pablo& Medina, Javier& Espinilla, Macarena& Tomeu, Antonio J.. Ontology-Based Framework for the Automatic Recognition of Activities of Daily Living Using Class Expression Learning Techniques. Scientific Programming. 2019. Vol. 2019, no. 2019, pp.1-19.
https://search.emarefa.net/detail/BIM-1210730
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1210730