Listar por autor "Medina-Quero, Javier"
Mostrando ítems 1-3 de 3
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Efficient Activity Recognition in Smart Homes Using Delayed Fuzzy Temporal Windows on Binary Sensors.
Rebeen, Hamad; Salguero-Hidalgo, Alberto Gabriel
; Bouguelia, Mohamed-Rafik; Espinilla-Estévez, Macarena; Medina-Quero, Javier (IEEE, 2019)
Human activity recognition has become an active research field over the past few years due to its wide application in various fields such as health-care, smart home monitoring, and surveillance. Existing approaches for ... -
Methodology for improving classification accuracy using ontologies: application in the recognition of activities of daily living
Salguero-Hidalgo, Alberto Gabriel; Medina-Quero, Javier; De la Torre-Moreno, Pablo; Espinilla-Estévez, Macarena (Springer-Verlag GmbH Germany, 2019-06-01)
Feature construction and selection are two key factors in the field of machine learning (ML). Usually, these are very time-consuming and complex tasks because the features have to be manually crafted. The features are ... -
Ontology-Based Framework for the Automatic Recognition of Activities of Daily Living Using Class Expression Learning Techniques
Salguero-Hidalgo, Alberto Gabriel; De la Torre-Moreno, Pablo; Medina-Quero, Javier; Espinilla-Estévez, Macarena; Tomeu, Antonio (John Wiley & Sons Ltd, 2019-04-01)
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 ...