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