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      • Faculty of Engineering
      • Department of Electrical and Electronics Engineering
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      Flame detection system based on wavelet analysis of PIR sensor signals with an HMM decision mechanism

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      Author
      Ug̃ur Töreyin, B.
      Soyer, E. Birey
      Urfaliog̃lu, Onay
      Çetin, A. Enis
      Date
      2008-08
      Source Title
      16th European Signal Processing Conference, 2008
      Publisher
      IEEE
      Pages
      [1] - [5]
      Language
      English
      Type
      Conference Paper
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      Abstract
      In this paper, a flame detection system based on a pyroelectric (or passive) infrared (PIR) sensor is described. The flame detection system can be used for fire detection in large rooms. The flame flicker process of an uncontrolled fire and ordinary activity of human beings and other objects are modeled using a set of Hidden Markov Models (HMM), which are trained using the wavelet transform of the PIR sensor signal. Whenever there is an activity within the viewing range of the PIR sensor system, the sensor signal is analyzed in the wavelet domain and the wavelet signals are fed to a set of HMMs. A fire or no fire decision is made according to the HMM producing the highest probability. copyright by EURASIP.
      Keywords
      Decision mechanism
      Fire detection
      Flame detection
      Flame flicker
      Human being
      Sensor signals
      Sensor systems
      Wavelet domain
      Hidden Markov models
      Wavelet analysis
      Sensors
      Permalink
      http://hdl.handle.net/11693/26793
      Published Version (Please cite this version)
      https://ieeexplore.ieee.org/document/7080299
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      • Department of Electrical and Electronics Engineering 3524
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