Status: Planned Paper
Section: Sensors
Type of Paper: Review Paper
Title: “Techniques for Drift Correction on Gas Sensor Used in Electronic Nose System: A Review.”
Authors:  Susana Albarracin-Estrada and Juan Rodríguez-Gamboa.
Affiliation: Instituto Tecnológico Metropolitano, Medellín – Colombia.

Abstract: The purpose of this paper is to present a review of techniques have been used to counteract the drift in chemical sensors commonly used in electronic nose systems. The drifts are changes in sensor response due to many factors and it is necessary to minimize their effects, one choice is controlling all parameters of the measure or applying processes and calibration algorithms to counteract the excesses that can not be controlled. This problem has been attacked from different approaches, the first of which corresponds to the correction of drift from the design and construction of new sensors, the second corresponds to the correction of the drifts in the classification stage, designing and implementing powerful classifiers improve the accuracy in the response and the discriminating power of electronic nose systems, the third approach addresses the problem from the space of representation of the feature set of the volatiles sensed, that is enhancing the response of the sensors in the characterization stage to perform the tasks of classifying and pattern recognition. This article presents a review of the most relevant works developed to mitigate this problem frequently presented in electronic nose systems with arrays of chemical sensors. Each approach has advantages and disadvantages for removing the drift, it will focus on techniques that address the problem from the preprocessed signal response of the sensor array, such as independent component analysis (ICA), principal component analysis (PCA), common principal component analysis (CPCA), between other techniques. This will allow us to conclude which is the best way to tackle the problem of drift and contribute to future work in this area.

Keywords: drift counteraction, Electronic Nose, gas-sensor