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Descripción
Enhanced Living Environments consider the recognition of the Activities of Daily Living (ADLs) being performed by users as first step in the aid plans. Some works proved the information about the objects with which a person interacts robustly characterizes the ADL?s identity. However, designing aid plans based on these raw data is a very complicated task, as an expert in both technology and occupational sciences is required. In addition, the plans produced by these experts are not platformindependent, to be closely linked to the hardware characteristics. Therefore, the aim of this paper is to design a two-phase solution capable of acquiring data from users, and of extracting information about the ADL being performed to trigger the execution of the proper aid plans. This solution disengages the technological and occupational domains, so that aid plans could be applied to any environment. Moreover, an experimental validation is conducted in order to validate the proposed technology as a valid solution for ADL recognition.
Internacional	Si
JCR del ISI	No
Título de la revista	IT CoNvergence PRActice (INPRA)
ISSN	2288-0860
Factor de impacto JCR
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Hasta la página	14
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• Autor: Borja Bordel Sanchez (UPM)
• Autor: Marina Perez Jimenez (UPM)
• Autor: Diego Sanchez de Rivera Cordoba (UPM)

• Creador: Grupo de Investigación: Grupo de Ingeniería de Redes y Servicios Avanzados de Telecomunicación
• Grupo de Investigación: Grupo de dispositivos magnéticos del ISOM
• Centro o Instituto I+D+i: Instituto Universitario de Sistemas Optoelectrónicos y Microtecnología
• Departamento: Ingeniería de Sistemas Telemáticos