Erden, FatihSoyer, E. B.Toreyin, B. U.Çetin, A. Enis2016-02-082016-02-0820101520-6149http://hdl.handle.net/11693/28532Date of Conference: 14-19 March 2010In 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. ©2010 IEEE.EnglishMarkov modelsPyro-electric infrared (PIR) sensorVoc gas leak detectionWavelet transformAbsorption bandAnalog signalsContinuous timeFeature parametersGas leak detectionGas leaksInfra-red sensorMarkov modelNovel methodsPyro-electric infrared (PIR) sensorReal timeSpectral rangeVoc gas leak detectionWavelet domainGas absorptionGasesLeak detectionMarkov processesSignal detectionSignal processingVolatile organic compoundsWavelet transformsSensorsConference Paper10.1109/ICASSP.2010.5495500