Odor Classification in Motion: How Fast Can the E-nose Go?

Javier G. Monroy

University of Malaga

Javier Gonzalez-Jimenez

University of Malaga

how_fast

Abstract:: Odor classification for a moving olfactory system (e.g. an electronic nose carried by a mobile platform) presents specific challenges beyond those already posed by the static chemical recognition problem. Mostly, the new issues come from the fact that existing e-noses do not react instantaneously to the gas exposure but they have a considerable latency in both the response and recovery time, which prevents them to achieve the steady state and probably a sufficient signal level to be representative of the chemical at hand. These circumstances can make a substantial difference in the performance of any conventional recognition method. In this paper we present some first results of an experimental evaluation on this problem.

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@INPROCEEDINGS{JGMonroy_et_al_ISOEN2015,
    author = {G. Monroy, Javier and Gonz{\'{a}}lez-Jim{\'{e}}nez, Javier},
    title = {Odor Classification in Motion: How Fast Can the E-nose Go?>,
    booktitle = {16th International Symposium on Olfaction and Electronic Nose (ISOEN)},
    year = {2015},
    location = {Dijon, Burgundy, France}
}

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