Yazar, A.Çetin, A.E.Töreyin, B.U.2022-05-202022-05-202012Yazar, Ahmet; Çetin, A. Enis; Töreyin, B. Uǧur (2012). "Human activity classification using vibration and PIR sensors", 2012 20th Signal Processing and Communications Applications Conference, SIU 2012.9781467300568https://doi.org/10.1109/SIU.2012.6204718Fall 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. © 2012 IEEE.trinfo:eu-repo/semantics/closedAccessConference Object10.1109/SIU.2012.62047182-s2.0-84863474154N/AN/A