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http://dx.doi.org/10.6109/JKIICE.2009.13.8.1679

Independent Component Analysis Applied on Odor Sensing Measurement Data for Multimedia Communication  

Kwon, Ki-Hyeon (강원대학교 공과대학 전자정보통신공학부)
Choi, Hyung-Jin (강원대학교 IT대학 컴퓨터과학과)
Hwang, Sung-Ho (강원대학교 공과대학 전자정보통신공학부)
Joo, Sang-Yeol (강원대학교 자연과학대학 정보통계학과)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.13, no.8, 2009 , pp. 1679-1686 More about this Journal
Abstract
Odor sensing system that is electronic nose device and its signal processing technique has potential to become a critical service for the people who require tangibility of sense of smell in the multimedia communication. PCA(Principal Component Analysis) have been used for dimensionality reduction and visualization of multivariate measurement data. PCA is good for estimating importance value by variance of data but, have some limitation for getting meaningful representation from odor sensing system. This paper explain about how to analyze the data of odor sensing system by ICA(Independent Component Analysis). We show that ICA can give better result like sensor drift analysis, dimensionality reduction and data representation by improved discrimination.
Keywords
Multimedia Communication; Odor Sensing System; Independent Component Analysis; Gas Sensor Array;
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