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Process mining for individualised behaviour modeling using wireless tracking in nursing homes

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Process mining for individualised behaviour modeling using wireless tracking in nursing homes

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Fernández Llatas, C.; Benedí Ruiz, JM.; García Gómez, JM.; Traver Salcedo, V. (2013). Process mining for individualised behaviour modeling using wireless tracking in nursing homes. Sensors. 13(11):15434-15451. https://doi.org/10.3390/s131115434

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/43741

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Título: Process mining for individualised behaviour modeling using wireless tracking in nursing homes
Autor: Fernández Llatas, Carlos Benedí Ruiz, José Miguel García Gómez, Juan Miguel Traver Salcedo, Vicente
Entidad UPV: Universitat Politècnica de València. Departamento de Sistemas Informáticos y Computación - Departament de Sistemes Informàtics i Computació
Universitat Politècnica de València. Departamento de Física Aplicada - Departament de Física Aplicada
Universitat Politècnica de València. Departamento de Ingeniería Electrónica - Departament d'Enginyeria Electrònica
Fecha difusión:
Resumen:
The analysis of human behavior patterns is increasingly used for several research fields. The individualized modeling of behavior using classical techniques requires too much time and resources to be effective. A possible ...[+]
Palabras clave: Process mining , Individualized behavior modeling , Ambient assisted living , ILS processing
Derechos de uso: Reconocimiento (by)
Fuente:
Sensors. (issn: 1424-8220 )
DOI: 10.3390/s131115434
Editorial:
MDPI
Versión del editor: http://dx.doi.org/10.3390/s131115434
Código del Proyecto:
info:eu-repo/grantAgreement/MITURCO//TSI-020110-2009-0219/ES/eMOTIVA - Motivación personalizada de pacientes con demencia mediante la detección de patrones de conducta/
info:eu-repo/grantAgreement/MICINN//RD07%2F0067%2F2001/ES/RED TEMÁTICA DE INVESTIGACIÓN COOPERATIVA EN BIOMEDICINA COMPUTACIONAL/ /
info:eu-repo/grantAgreement/MEC//PTQ05-02-03386/ES/PTQ05-02-03386/
Agradecimientos:
The authors want to acknowledge the Spanish Government, the eMotiva Project (TSI-020110-2009-219) partners, Health Institute Carlos III through the RETICSCombiomed (RD07/0067/2001) and Programa Torres Quevedo from Ministerio ...[+]
Tipo: Artículo

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