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ORCID: https://orcid.org/0000-0003-2177-6185, Belmonte Hernández, Alberto
ORCID: https://orcid.org/0000-0002-4009-2662, Quintana González, Marcos and Álvarez García, Federico
ORCID: https://orcid.org/0000-0001-7400-9591
(2017).
A multi-sensor fusion scheme to increase life autonomy of elderly people with cognitive problems.
"IEEE Access", v. 6
(n. 99);
pp. 12775-12789.
ISSN 2169-3536.
https://doi.org/10.1109/ACCESS.2017.2735809.
| Título: | A multi-sensor fusion scheme to increase life autonomy of elderly people with cognitive problems |
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| Autor/es: |
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| Tipo de Documento: | Artículo |
| Título de Revista/Publicación: | IEEE Access |
| Fecha: | 3 Agosto 2017 |
| ISSN: | 2169-3536 |
| Volumen: | 6 |
| Número: | 99 |
| Materias: | |
| ODS: | |
| Palabras Clave Informales: | Abnormal Behavior Detection, Healthcare, WSN, Multi-modal Fusion, Depth Sensors |
| Escuela: | E.T.S.I. Telecomunicación (UPM) |
| Departamento: | Señales, Sistemas y Radiocomunicaciones |
| Licencias Creative Commons: | Reconocimiento - Sin obra derivada - No comercial |
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Elderly people care is a major challenge for the smart-cities of future. This represents a valuable opportunity to develop scalable applications to cover the special needs in terms of health monitoring and accessibility for people with cognitive impairments. In this paper, a complete system to support daily activities of elderly people based on a multi-sensor scheme is presented. This system is intended to be deployed not only at home, but also at crowded places, such as daily care centers. A multi-layer architecture is drawn to ensure system modularity and interoperability of heterogeneous data with concurrent services. The proposed system includes a set of algorithms for data gathering and processing to detect abnormal events in the considered scenarios. The experiments performed in real scenarios have led to a good performance of the algorithms proposed as well as high accuracy in event detection for both environments.
| ID de Registro: | 50648 |
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| Identificador DC: | https://oa.upm.es/50648/ |
| Identificador OAI: | oai:oa.upm.es:50648 |
| URL Portal Científico: | https://portalcientifico.upm.es/es/ipublic/item/5496372 |
| Identificador DOI: | 10.1109/ACCESS.2017.2735809 |
| URL Oficial: | http://ieeexplore.ieee.org/document/8000564/ |
| Depositado por: | Memoria Investigacion |
| Depositado el: | 12 May 2018 11:48 |
| Ultima Modificación: | 12 Nov 2025 00:00 |
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