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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.contributor.otherHochschule Münchenen_US
dc.identifier.citation5th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology, ECTI-CON 2008. Vol.2, (2008), 845-848en_US
dc.description.abstractHumidity strongly effects the sensitivity of odor sensors. It is therefore a major problem in the use of electronic nose (E-nose) for most applications including detecting human body odor from armpits, where humidity at the armpits can varies to a large extent due to various human activities. In this paper, we propose both hardware and software approaches to correct the humidity effect. The E-nose was designed to efficiently measure volatile organic compounds generated from human body and was most optimized if both the hardware and software corrections were employed. Principle component analysis (PCA) method was used for pattern recognition and discrimination of human body odor. After humidity correction, our special designed E-nose not only shows the capability in detecting human body odor, but it is also able to classify two different persons who have the same life style and activities. © 2008 IEEE.en_US
dc.rightsMahidol Universityen_US
dc.subjectComputer Scienceen_US
dc.titleCorrection of humidity effect for detection of human body odoren_US
dc.typeConference Paperen_US
Appears in Collections:Scopus 2006-2010

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