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dc.contributor.authorTöreyin, Behçet Uğuren_US
dc.contributor.authorSoyer, Emin Bireyen_US
dc.contributor.authorOnaran, İbrahimen_US
dc.contributor.authorÇetin, Ahmet Enisen_US
dc.coverage.spatialEskişehir, Turkeyen_US
dc.date.accessioned2016-02-08T11:40:33Zen_US
dc.date.available2016-02-08T11:40:33Zen_US
dc.date.issued2007en_US
dc.identifier.issn2165-0608en_US
dc.identifier.urihttp://hdl.handle.net/11693/26956en_US
dc.descriptionDate of Conference: 11-13 June 2007en_US
dc.descriptionConference Name: 15th Signal Processing and Communications Applications, IEEE 2007en_US
dc.description.abstractFalls are one of the most important problems for frail and elderly people living independently. Early detection of falls is vital to provide a safe and active lifestyle for elderly. In this paper, signals produced by sound and passive infrared (PIR) sensors are simultaneously analyzed to detect suddenly falling elderly people. A typical room in a supportive home can be equipped with sound and PIR sensors. Hidden Markov models are trained for regular and unusual activities of an elderly person and a pet for each sensor signal. Decisions of HMMs can be fused together to reach a final decision.en_US
dc.language.isoTurkishen_US
dc.source.titleProceedings of the 15th Signal Processing and Communications Applications, IEEE 2007en_US
dc.relation.isversionofhttp://doi.org/10.1109/SIU.2007.4298709en_US
dc.subjectSignal processingen_US
dc.subjectSenior citizensen_US
dc.subjectAcoustic sensorsen_US
dc.subjectInfrared sensorsen_US
dc.subjectInfrared detectorsen_US
dc.titleFalling person detection using multi-sensor signal processingen_US
dc.title.alternativeÇoklu sensör sinyallerinin işlenmesiyle düşen kişi tespitien_US
dc.typeConference Paperen_US
dc.departmentDepartment of Electrical and Electronics Engineeringen_US
dc.identifier.doi10.1109/SIU.2007.4298709en_US
dc.publisherIEEEen_US


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