• DocumentCode
    792217
  • Title

    A portable electronic nose based on embedded PC technology and GNU/Linux: hardware, software and applications

  • Author

    Perera, Alexandre ; Sundic, Teodor ; Pardo, Antonio ; Gutierrez-Osuna, Ricardo ; Marco, Santiago

  • Author_Institution
    Departament d´´Electronica, Barcelona Univ., Spain
  • Volume
    2
  • Issue
    3
  • fYear
    2002
  • fDate
    6/1/2002 12:00:00 AM
  • Firstpage
    235
  • Lastpage
    246
  • Abstract
    This paper describes a portable electronic nose based on embedded PC technology. The instrument combines a small footprint with the versatility offered by embedded technology in terms of software development and digital communications services. A summary of the proposed hardware and software solutions is provided with an emphasis on data processing. Data evaluation procedures available in the instrument include automatic feature selection by means of SFFS, feature extraction with linear discriminant analysis (LDA) and principal component analysis (PCA), multi-component analysis with partial least squares (PLS) and classification through k-NN and Gaussian mixture models. In terms of instrumentation, the instrument makes use of temperature modulation to improve the selectivity of commercial metal oxide gas sensors. Field applications of the instrument, including experimental results, are also presented.
  • Keywords
    Gaussian distribution; chemioception; embedded systems; feature extraction; gas sensors; least squares approximations; operating systems (computers); pattern classification; portable instruments; principal component analysis; GNU/Linux; Gaussian mixture model classification; LDA; PCA; SFFS automatic feature selection; data evaluation procedures; data processing; digital communications; embedded PC technology; embedded technology; feature extraction; instrument field applications; instrument footprint; k-NN model classification; linear discriminant analysis; metal oxide gas sensor selectivity; multi-component analysis; partial least squares method; portable electronic nose; principal component analysis; software development; temperature modulation; Application software; Digital communication; Electronic noses; Embedded software; Hardware; Instruments; Linear discriminant analysis; Linux; Principal component analysis; Programming;
  • fLanguage
    English
  • Journal_Title
    Sensors Journal, IEEE
  • Publisher
    ieee
  • ISSN
    1530-437X
  • Type

    jour

  • DOI
    10.1109/JSEN.2002.800683
  • Filename
    1021064