Machine olfaction: pattern recognition for the identification of aromas

Author

Perera, A. ; Gomez-Baena, A. ; Sundic, T. ; Pardo, T. ; Marco, S.

Author_Institution

Instrum. & Commun. Syst., Barcelona Univ., Spain

Volume

2

fYear

2002

fDate

2002

Firstpage

410

Abstract

Describes a portable pattern recognition system (PRS) based on embedded technology for intelligent volatile detection (electronic nose). This instrument is designed to hold advanced signal processing and digital communications services in a contained size. A summary of the hardware is presented followed by an application to the identification of extra virgin olive oils. The instrument of the example is able to classify eleven different classes of Spanish olive oil with a 79% of accuracy and relatively simple pattern recognition techniques.

Keywords

feature extraction; gas sensors; intelligent sensors; pattern recognition equipment; sensor fusion; Spanish olive oil; advanced signal processing; aromas identification; digital communications services; electronic nose; embedded technology; extra virgin olive oils; intelligent volatile detection; machine olfaction; pattern recognition; Digital communication; Digital signal processing; Electronic noses; Hardware; Instruments; Machine intelligence; Oils; Pattern recognition; Petroleum; Signal design;

fLanguage

English

Publisher

ieee

Conference_Titel

Pattern Recognition, 2002. Proceedings. 16th International Conference on

ISSN

1051-4651

Print_ISBN

0-7695-1695-X

Type

conf

DOI

10.1109/ICPR.2002.1048326

Filename

1048326