On the study of feature extraction methods for an electronic nose

Cosimo Distante; Marco Leo; Pietro Siciliano; Krishna C. Persaud

doi:10.1016/S0925-4005(02)00247-2

On the study of feature extraction methods for an electronic nose

Cosimo Distante, Marco Leo, Pietro Siciliano, Krishna C. Persaud

Research output: Contribution to journal › Article › peer-review

Abstract

In this study, we analyzed the transient of microsensors based on tin oxide sol-gel thin film. A novel method to this research field for data analysis and discrimination among different volatile organic compounds is presented. Moreover; several feature extraction methods have been considered, both steady-state (fractional change, relative, difference and log) and transient (Fourier and wavelet descriptors, integral and derivatives) information. Feature extraction methods have been validated qualitatively (by using principal component analysis) and quantitatively on the classification rate (by using a radial basis function neural network). © 2002 Elsevier Science B.V. All rights reserved.

Original language	English
Pages (from-to)	274-288
Number of pages	14
Journal	Sensors and Actuators B: Chemical: international journal devoted to research and development of physical and chemical transducers
Volume	87
Issue number	2
DOIs	https://doi.org/10.1016/S0925-4005(02)00247-2
Publication status	Published - 10 Dec 2002

Keywords

Electronic nose
Feature extraction
Radial basis function
Wavelet analysis

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10.1016/S0925-4005(02)00247-2

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title = "On the study of feature extraction methods for an electronic nose",

abstract = "In this study, we analyzed the transient of microsensors based on tin oxide sol-gel thin film. A novel method to this research field for data analysis and discrimination among different volatile organic compounds is presented. Moreover; several feature extraction methods have been considered, both steady-state (fractional change, relative, difference and log) and transient (Fourier and wavelet descriptors, integral and derivatives) information. Feature extraction methods have been validated qualitatively (by using principal component analysis) and quantitatively on the classification rate (by using a radial basis function neural network). {\textcopyright} 2002 Elsevier Science B.V. All rights reserved.",

keywords = "Electronic nose, Feature extraction, Radial basis function, Wavelet analysis",

author = "Cosimo Distante and Marco Leo and Pietro Siciliano and Persaud, {Krishna C.}",

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T1 - On the study of feature extraction methods for an electronic nose

AU - Distante, Cosimo

AU - Leo, Marco

AU - Siciliano, Pietro

AU - Persaud, Krishna C.

N1 - Times Cited: 38

PY - 2002/12/10

Y1 - 2002/12/10

N2 - In this study, we analyzed the transient of microsensors based on tin oxide sol-gel thin film. A novel method to this research field for data analysis and discrimination among different volatile organic compounds is presented. Moreover; several feature extraction methods have been considered, both steady-state (fractional change, relative, difference and log) and transient (Fourier and wavelet descriptors, integral and derivatives) information. Feature extraction methods have been validated qualitatively (by using principal component analysis) and quantitatively on the classification rate (by using a radial basis function neural network). © 2002 Elsevier Science B.V. All rights reserved.

AB - In this study, we analyzed the transient of microsensors based on tin oxide sol-gel thin film. A novel method to this research field for data analysis and discrimination among different volatile organic compounds is presented. Moreover; several feature extraction methods have been considered, both steady-state (fractional change, relative, difference and log) and transient (Fourier and wavelet descriptors, integral and derivatives) information. Feature extraction methods have been validated qualitatively (by using principal component analysis) and quantitatively on the classification rate (by using a radial basis function neural network). © 2002 Elsevier Science B.V. All rights reserved.

KW - Electronic nose

KW - Feature extraction

KW - Radial basis function

KW - Wavelet analysis

U2 - 10.1016/S0925-4005(02)00247-2

DO - 10.1016/S0925-4005(02)00247-2

M3 - Article

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VL - 87

SP - 274

EP - 288

JO - Sensors and Actuators B: Chemical: international journal devoted to research and development of physical and chemical transducers

JF - Sensors and Actuators B: Chemical: international journal devoted to research and development of physical and chemical transducers

IS - 2

ER -

On the study of feature extraction methods for an electronic nose

Abstract

Keywords

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