@inproceedings{7cb9831f3a7d4369b6fcc4827deec806,
title = "VOC gas leak detection using pyro-electric infrared sensors",
abstract = "In this paper, we propose a novel method for detecting and monitoring Volatile Organic Compounds (VOC) gas leaks by using a Pyro-electric (or Passive) Infrared (PIR) sensor whose spectral range intersects with the absorption bands of VOC gases. A continuous time analog signal is obtained from the PIR sensor. This signal is discretized and analyzed in real time. Feature parameters are extracted in wavelet domain and classified using a Markov Model (MM) based classifier. Experimental results are presented.",
keywords = "Markov models, Pyro-electric infrared (PIR) sensor, Voc gas leak detection, Wavelet transform",
author = "Fatih Erden and Soyer, \{E. Birey\} and Toreyin, \{B. Ugur\} and {\c C}etin, \{A. Enis\}",
year = "2010",
doi = "10.1109/ICASSP.2010.5495500",
language = "English",
isbn = "9781424442966",
series = "ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1682--1685",
booktitle = "2010 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2010 - Proceedings",
address = "United States",
note = "2010 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2010 ; Conference date: 14-03-2010 Through 19-03-2010",
}