002320712 001__ 2320712
002320712 003__ SzGeCERN
002320712 005__ 20220701002322.0
002320712 0247_ $$2DOI$$9submitter$$a10.3233/AIS-170450
002320712 0248_ $$aoai:inspirehep.net:1675154$$pcerncds:CERN$$qForCDS
002320712 035__ $$9http://inspirehep.net/oai2d$$aoai:inspirehep.net:1675154$$d2018-05-29T16:17:55Z$$h2018-05-30T04:00:08Z$$mmarcxml
002320712 035__ $$9Inspire$$a1675154
002320712 041__ $$aeng
002320712 100__ $$aTorres-Sospedra, Joaquín$$mjtorres@uji.es$$uJaume I U., Castellon
002320712 245__ $$9submitter$$aIn-home monitoring system based on WiFi fingerprints for ambient assisted living
002320712 246__ $$9crossref$$aIn-home monitoring system based on WiFi fingerprints for ambient assisted living
002320712 260__ $$c2017
002320712 300__ $$a18 p
002320712 520__ $$9submitter$$aThis paper presents an in-home monitoring system based on WiFi fingerprints for Ambient Assisted Living. WiFi fingerprints are used to continuously locate a patient at the different rooms in her/his home. The experiments performed provide a correctly location rate of 96% in the best case of all studied scenarios. The behavior obtained by location monitoring allows to detect anomalous behavior such as long stays in rooms out of the common schedule. The main characteristics of the presented system are: a) it is robust enough to work without an own WiFi access point, which in turn means a very affordable solution; b) low obtrusiveness, as it is based on the use of a mobile phone; c) highly interoperable with other wireless connections (bluetooth, RFID) present in current mobile phones; d) alarms are triggered when any anomalous behavior is detected.
002320712 65017 $$2SzGeCERN$$aDetectors and Experimental Techniques
002320712 6531_ $$9author$$aAmbient Assisted Living
002320712 6531_ $$9author$$ain-home monitoring
002320712 6531_ $$9author$$aIndoor positioning
002320712 6531_ $$9author$$aWiFi fingerprinting
002320712 690C_ $$aCERN
002320712 690C_ $$aARTICLE
002320712 700__ $$aBelmonte-Fernández, Óscar$$moscar.belmonte@uji.es$$uJaume I U., Castellon
002320712 700__ $$aMontoliu, Raúl$$mmontoliu@uji.es$$uJaume I U., Castellon
002320712 700__ $$aTrilles, Sergio$$mstrilles@uji.es$$uJaume I U., Castellon
002320712 700__ $$aCalia, Andrea$$mandrea.calia@cern.ch$$uCERN
002320712 773__ $$c543-560$$n5$$pJournal of Ambient Intelligence and Smart Environments$$v9$$y2017
002320712 960__ $$a13
002320712 980__ $$aARTICLE