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Sensors 2009, 9(9), 7234-7249; doi:10.3390/s90907234

Detection and Classification of Human Body Odor Using an Electronic Nose

Received: 24 June 2009 / Revised: 19 August 2009 / Accepted: 3 September 2009 / Published: 9 September 2009
(This article belongs to the Special Issue Sensor Algorithms)
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An 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.
Keywords: E-nose; body odor; biometrics; PCA; deodorant; humidity correction algorithm E-nose; body odor; biometrics; PCA; deodorant; humidity correction algorithm
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Wongchoosuk, C.; Lutz, M.; Kerdcharoen, T. Detection and Classification of Human Body Odor Using an Electronic Nose. Sensors 2009, 9, 7234-7249.

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