Gas identification in electronic nose by using similarity measure between latency patterns

Muhammad Hassan, Amine Bermak, Amine Ait Si Ali, Abbes Amira

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

Abstract

Recently, implementation friendly bio-inspired coding schemes have been developed for an electronic nose system to recognise different gases. In these schemes, a logarithmic timedomain encoding technique is used to covert the response vector of the sensor array in an electronic nose into a latency pattern. These schemes assume a unique temporal sequence of latencies, referred to as a rank order, for each target gas. However, poor repeatability and sensor drift limit the performance of these schemes. In this paper, we use angular separation between the latency patterns of the sensor array for gas identification. An electronic nose system containing an array of commercially available gas sensors and a radio frequency module is developed and characterized in the laboratory environment with four gases. Experimental data is used to compare the performance of our coding scheme with existing bio-inspired coding schemes and commonly used pattern recognition algorithms.

Original languageEnglish
Title of host publication2014 26th International Conference on Microelectronics, ICM 2014
PublisherIEEE
Pages200-203
Number of pages4
Volume2015-March
ISBN (Electronic)9781479981533
DOIs
Publication statusPublished - 14 Dec 2014
Event2014 26th International Conference on Microelectronics, ICM 2014 - Doha, Qatar
Duration: 14 Dec 201417 Dec 2014

Conference

Conference2014 26th International Conference on Microelectronics, ICM 2014
CountryQatar
CityDoha
Period14/12/1417/12/14

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