• DocumentCode
    2489238
  • Title

    Detection of humans buried in rubble: an electronic nose to detect human body odor

  • Author

    Teo, A.W. ; Garg, H.K. ; Puthusserypady, S.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Nat. Univ. of Singapore, Singapore
  • Volume
    3
  • fYear
    2002
  • fDate
    23-26 Oct. 2002
  • Firstpage
    1811
  • Abstract
    As far as scent is concerned, little technology has been developed In the field of search and rescue (SAR) operations. In this paper, the use of electronic noses (e-noses) in SAR, more specifically search operation, is discussed. The e-nose consists of an array of TGS tin-oxide gas sensors, whose signals are digitized, and then fed into an artificial neural network (ANN) for odor classification. Odor samples are collected from odiferous items such as egg, prawn, fish, cigarette, urine, feces, sweat, saliva, garlic, and onion. The gas sensing system developed is able to detect and identify volatile organic compounds (VOCs) from known single sources. However, VOCs from known multiple sources were not conclusively identified.
  • Keywords
    arrays; biomedical electronics; biomedical measurement; gas sensors; neural nets; organic compounds; SnO2; TGS tin-oxide gas sensors array; cigarette; digitized signals; e-nose; egg; electronic nose; feces; fish; garlic; human body odor detection; odor detection; onion; prawn; saliva; search and rescue operations; sweat; urine; volatile organic compounds identification; Artificial neural networks; Dogs; Electronic noses; Gas detectors; Humans; Marine animals; Sensor arrays; Temperature sensors; Testing; Volatile organic compounds;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology, 2002. 24th Annual Conference and the Annual Fall Meeting of the Biomedical Engineering Society EMBS/BMES Conference, 2002. Proceedings of the Second Joint
  • ISSN
    1094-687X
  • Print_ISBN
    0-7803-7612-9
  • Type

    conf

  • DOI
    10.1109/IEMBS.2002.1053037
  • Filename
    1053037