In-home monitoring system based on WiFi fingerprints for ambient assisted living
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Otros documentos de la autoría: Torres-Sospedra, Joaquín; Belmonte-Fernández, Óscar; Montoliu Colás, Raul; Trilles, Sergio; Calia, Andrea
Metadatos
Mostrar el registro completo del ítemcomunitat-uji-handle:10234/9
comunitat-uji-handle2:10234/43662
comunitat-uji-handle3:10234/43643
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INVESTIGACIONMetadatos
Título
In-home monitoring system based on WiFi fingerprints for ambient assisted livingAutoría
Fecha de publicación
2017-08Editor
IOSCita bibliográfica
TORRES-SOSPEDRA, Joaquín, et al. In-home monitoring system based on WiFi fingerprints for ambient assisted living. Journal of Ambient Intelligence and Smart Environments, 2017, vol. 9, no 5, p. 543-560.Tipo de documento
info:eu-repo/semantics/articleVersión de la editorial
https://content.iospress.com/articles/journal-of-ambient-intelligence-and-smart- ...Versión
info:eu-repo/semantics/acceptedVersionPalabras clave / Materias
Resumen
This paper presents an in-home monitoring system based on WiFi fingerprints for Ambient Assisted Living. WiFi fingerprints are used to continuously locate a patient at the different rooms in her/his home. The experiments ... [+]
This paper presents an in-home monitoring system based on WiFi fingerprints for Ambient Assisted Living. WiFi fingerprints are used to continuously locate a patient at the different rooms in her/his home. The experiments performed provide a correctly location rate of 96% in the best case of all studied scenarios. The behavior obtained by location monitoring allows to detect anomalous behavior such as long stays in rooms out of the common schedule. The main characteristics of the presented system are: a) it is robust enough to work without an own WiFi access point, which in turn means a very affordable solution; b) low obtrusiveness, as it is based on the use of a mobile phone; c) highly interoperable with other wireless connections (bluetooth, RFID) present in current mobile phones; d) alarms are triggered when any anomalous behavior is detected. [-]
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