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dc.contributor.authorChatchawal Wongchoosuken_US
dc.contributor.authorMario Lutzen_US
dc.contributor.authorTeerakiat Kerdcharoenen_US
dc.contributor.otherMahidol Universityen_US
dc.date.accessioned2018-09-13T06:22:02Z-
dc.date.available2018-09-13T06:22:02Z-
dc.date.issued2009-09-01en_US
dc.identifier.citationSensors. Vol.9, No.9 (2009), 7234-7249en_US
dc.identifier.issn14248220en_US
dc.identifier.other2-s2.0-70350025325en_US
dc.identifier.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=70350025325&origin=inwarden_US
dc.identifier.urihttp://repository.li.mahidol.ac.th/dspace/handle/123456789/27144-
dc.description.abstractAn electronic nose (E-nose) has been designed and equipped with software that can detect and classify human armpit body odor. An array of metal oxide sensors was used for detecting volatile organic compounds. The measurement circuit employs a voltage divider resistor to measure the sensitivity of each sensor. This E-nose was controlled by in-house developed software through a portable USB data acquisition card with a principle component analysis (PCA) algorithm implemented for pattern recognition and classification. Because gas sensor sensitivity in the detection of armpit odor samples is affected by humidity, we propose a new method and algorithms combining hardware/software for the correction of the humidity noise. After the humidity correction, the E-nose showed the capability of detecting human body odor and distinguishing the body odors from two persons in a relative manner. The E-nose is still able to recognize people, even after application of deodorant. In conclusion, this is the first report of the application of an E-nose for armpit odor recognition. © 2009 by the authors.en_US
dc.rightsMahidol Universityen_US
dc.source.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=70350025325&origin=inwarden_US
dc.subjectBiochemistry, Genetics and Molecular Biologyen_US
dc.subjectChemistryen_US
dc.subjectEngineeringen_US
dc.subjectPhysics and Astronomyen_US
dc.titleDetection and classification of human body odor using an electronic noseen_US
dc.typeArticleen_US
dc.rights.holderSCOPUSen_US
dc.identifier.doi10.3390/s90907234en_US
Appears in Collections:Scopus 2006-2010

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