Overview of electronic nose algorithms

Abstract

The electronic nose is a natural match for physiologically motivated odor analysis. Both the olfactory system and the electronic nose consist of an array of chemical sensing elements and a pattern recognition system. This paper reviews different approaches to chemical data analysis (i.e., chemometrics) found in both commercial and experimental electronic nose systems. The electronic nose algorithms discussed include those based on statistical methods, standard artificial neural network approaches, and those based on advanced biological models of the olfactory system.