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Journal of Sensors
Volume 2008, Article ID 465209, 6 pages
Research Article

A Robust and Low-Complexity Gas Recognition Technique for On-Chip Tin-Oxide Gas Sensor Array

1School of Computer Science and Software Engineering, The University of Western Australia, 35 Stirling Highway, CRAWLEY, WA 6009, Australia
2Smart Sensory Integrated Systems Lab, ECE Department, The Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong

Received 28 May 2008; Accepted 26 June 2008

Academic Editor: Kourosh Kalantar-Zadeh

Copyright © 2008 Farid Flitti et al. 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.


Gas recognition is a new emerging research area with many civil, military, and industrial applications. The success of any gas recognition system depends on its computational complexity and its robustness. In this work, we propose a new low-complexity recognition method which is tested and successfully validated for tin-oxide gas sensor array chip. The recognition system is based on a vector angle similarity measure between the query gas and the representatives of the different gas classes. The latter are obtained using a clustering algorithm based on the same measure within the training data set. Experimented results on our in-house gas sensors array show more than of correct recognition. The robustness of the proposed method is tested by recognizing gas measurements with simulated drift. Less than of performance degradation is noted at the worst case scenario which represents a significant improvement when compared to the current state-of-the-art.