DocumentCode :
384323
Title :
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
Link To Document :
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