Töreyin, Behçet UğurSoyer, Emin BireyOnaran, İbrahimÇetin, A. Enis2016-02-082016-02-0820072165-0608http://hdl.handle.net/11693/26956Date of Conference: 11-13 June 2007Conference Name: 15th Signal Processing and Communications Applications, IEEE 2007Falls 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.TurkishSignal processingSenior citizensAcoustic sensorsInfrared sensorsInfrared detectorsFalling person detection using multi-sensor signal processingÇoklu sensör sinyallerinin işlenmesiyle düşen kişi tespitiConference Paper10.1109/SIU.2007.4298709