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dc.contributor.authorTöreyin, B. U.en_US
dc.contributor.authorSoyer, E. B.en_US
dc.contributor.authorOnaran, I.en_US
dc.contributor.authorÇetin, A. E.en_US
dc.date.accessioned2016-02-08T11:40:33Z
dc.date.available2016-02-08T11:40:33Z
dc.date.issued2007en_US
dc.identifier.issn2165-0608
dc.identifier.urihttp://hdl.handle.net/11693/26956
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.title2007 IEEE 15th Signal Processing and Communications Applications, SIUen_US
dc.relation.isversionofhttp://doi.org/10.1109/SIU.2007.4298709en_US
dc.titleFalling person detection using multi-sensor signal processingen_US
dc.title.alternativeFalling Person Detection Using Multi-sensor Signal Processingen_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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