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      • Faculty of Engineering
      • Department of Electrical and Electronics Engineering
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      Falling person detection using multisensor signal processing

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      Author(s)
      Toreyin, B. U.
      Soyer, E. B.
      Onaran, I.
      Cetin, E. E.
      Date
      2008
      Source Title
      Eurasip Journal on Advances in Signal Processing
      Print ISSN
      1687-6172
      Electronic ISSN
      1687-6180
      Publisher
      SpringerOpen
      Volume
      2008
      Pages
      149304-7 - 149304-1
      Language
      English
      Type
      Article
      Item Usage Stats
      196
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      241
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      Abstract
      Falls are one of the most important problems for frail and elderly people living independently. Early detection of falls is vital to provide a safe and active lifestyle for elderly. Sound, passive infrared (PIR) and vibration sensors can be placed in a supportive home environment to provide information about daily activities of an elderly person. In this paper, signals produced by sound, PIR and vibration sensors are simultaneously analyzed to detect falls. Hidden Markov Models are trained for regular and unusual activities of an elderly person and a pet for each sensor signal. Decisions of HMMs are fused together to reach a final decision.
      Permalink
      http://hdl.handle.net/11693/23229
      Published Version (Please cite this version)
      https://doi.org/10.1155/2008/149304
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      • Department of Electrical and Electronics Engineering 4011
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