Next Article in Journal
Bistatic Radar Configuration for Soil Moisture Retrieval: Analysis of the Spatial Coverage
Next Article in Special Issue
A Hybrid Adaptive Routing Algorithm for Event-Driven Wireless Sensor Networks
Previous Article in Journal
Sensing Landscape History with an Interactive Location Based Service
Previous Article in Special Issue
Game and Balance Multicast Architecture Algorithms for Sensor Grid
Article Menu

Export Article

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

Detection and Classification of Human Body Odor Using an Electronic Nose

1
Department of Physics and Center of Nanoscience and Nanotechnology, Faculty of Science, Mahidol University, Ratchathewee, Bangkok 10400, Thailand
2
Materials Science and Engineering Programme, Faculty of Science, Mahidol University, Ratchathewee, Bangkok 10400, Thailand
3
NANOTEC Center of Excellence at Mahidol University, National Nanotechnology Center, Bangkok 10400, Thailand
*
Author to whom correspondence should be addressed.
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)
View Full-Text   |   Download PDF [563 KB, uploaded 21 June 2014]   |  

Abstract

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
Figures

This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

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

Show more citation formats Show less citations formats

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Sensors EISSN 1424-8220 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top