@inproceedings{9dc5938f869a42ba9e4c11ee664e813c,
title = "İnsan hareketler{\.i}n{\.i}n v{\.i}brasyon ve PIR algilayicilari kullanilarak siniflandirilmasi",
abstract = "Fall detection is an important problem for elderly people living independently and people in need of care. In this paper, a fall detection method using seismic and passive infrared (PIR) sensors is proposed. Fast Fourier transform, mel-frequency cepstrum coefficients, and discrete wavelet transform based features are extracted for classification. Seismic signals are classified into {"}fall{"} and {"}not a fall{"} classes using support vector machines. Once a moving person is detected by the PIR sensor within a region of interest, fall is detected by fusing seismic and PIR sensor decisions. The proposed system is implemented on a standard personal computer and works in real-time.",
author = "Ahmet Yazar and {\c C}etin, \{A. Enis\} and T{\"o}reyin, \{B. Uǧur\}",
year = "2012",
doi = "10.1109/SIU.2012.6204718",
language = "T{\"u}rk{\c c}e",
isbn = "9781467300568",
series = "2012 20th Signal Processing and Communications Applications Conference, SIU 2012, Proceedings",
booktitle = "2012 20th Signal Processing and Communications Applications Conference, SIU 2012, Proceedings",
note = "2012 20th Signal Processing and Communications Applications Conference, SIU 2012 ; Conference date: 18-04-2012 Through 20-04-2012",
}