@inproceedings{b0457a5ba4cf40838f702cf177843e84,
title = "{\c C}oklu sens{\"o}r sinyallerinin {\.i}{\c s}lenmesiyle d{\"u}{\c s}en ki{\c s}i tespiti",
abstract = "Falls 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.",
author = "T{\"o}reyin, \{B. Uǧur\} and Soyer, \{E. Birey\} and Ibrahim Onaran and {\c C}etin, \{A. Enis\}",
year = "2007",
doi = "10.1155/2008/149304",
language = "T{\"u}rk{\c c}e",
isbn = "1424407192",
series = "2007 IEEE 15th Signal Processing and Communications Applications, SIU",
publisher = "IEEE Computer Society",
booktitle = "2007 IEEE 15th Signal Processing and Communications Applications, SIU",
address = "United States",
note = "2007 IEEE 15th Signal Processing and Communications Applications, SIU ; Conference date: 11-06-2007 Through 13-06-2007",
}