TY - GEN
T1 - Identification of people from armpit odor region using networked electronic nose
AU - Wongchoosuk, Chatchawal
AU - Youngrod, Taweesak
AU - Phetmung, Hirihattaya
AU - Lutz, Mario
AU - Puntheeranurak, Theeraporn
AU - Kerdcharoen, Teerakiat
PY - 2011
Y1 - 2011
N2 - 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.
AB - 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.
KW - E-nose
KW - biometrics
KW - body odor
KW - sensor drift
KW - smell-print
UR - https://www.scopus.com/pages/publications/80053619183
U2 - 10.1109/DSR.2011.6026826
DO - 10.1109/DSR.2011.6026826
M3 - Conference contribution
AN - SCOPUS:80053619183
SN - 9781424492763
T3 - 2011 Defense Science Research Conference and Expo, DSR 2011
BT - 2011 Defense Science Research Conference and Expo, DSR 2011
T2 - 2011 Defense Science Research Conference and Expo, DSR 2011
Y2 - 3 August 2011 through 5 August 2011
ER -