Simple jQuery Dropdowns
Please use this identifier to cite or link to this item: http://repository.li.mahidol.ac.th/dspace/handle/123456789/12874
Title: Identification of people from armpit odor region using networked electronic nose
Authors: Chatchawal Wongchoosuk
Taweesak Youngrod
Hirihattaya Phetmung
Mario Lutz
Theeraporn Puntheeranurak
Teerakiat Kerdcharoen
Mahidol University
Thaksin University
Keywords: Social Sciences
Issue Date: 13-Oct-2011
Citation: 2011 Defense Science Research Conference and Expo, DSR 2011. (2011)
Abstract: Homeland security basically needs devices that can detect, track, and identify a terrorist from a distance. Body odor recognition offers an opportunity to confirm a person's identity based on one's unique odor pattern. In this paper, we have reported how to invent a networked electronic nose (E-nose), which can detect and recognize human odors from the armpit region. An array of metal oxide sensors was used to detect human odor. Principal component analysis (PCA) was employed to perform pattern recognition and discrimination. The method for correction of the sensor drift has been proposed. The results show that the networked E-nose has a capability to detect human body odor and can create the unique smell print of each person. Based on PCA with 95% confidence ellipse, this E-nose can identify a person from four persons by detecting odor from armpit region. © 2011 IEEE.
URI: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=80053619183&origin=inward
http://repository.li.mahidol.ac.th/dspace/handle/123456789/12874
Appears in Collections:Scopus 2011-2015

Files in This Item:
There are no files associated with this item.


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.