2025 SMSI Bannerklein

P2.0.7 Multi-way analysis of diversity and redundancy factors in large MOX gas sensor data

Event
14th International Meeting on Chemical Sensors - IMCS 2012
2012-05-20 - 2012-05-23
Nürnberg/Nuremberg, Germany
Chapter
P2.0 Metal Oxide-based Sensors
Author(s)
L. Fernandez, A. Gutierrez-Galvez, S. Marco - Institute for Bioengineering of Catalonia (IBEC) (Spain)
Pages
1279 - 1280
DOI
10.5162/IMCS2012/P2.0.7
ISBN
978-3-9813484-2-2
Price
free

Abstract

We propose the use of multi-way methods to analyze the contribution of diversity and redundancy to odor identification and concentration estimation in a large chemical sensor array. We use a chemical sensing system based on a large array of metal oxide sensors (MOX) and inspired on the diversity and redundancy of the olfactory epithelium. In order to analyze the role of diversity (different sensor type and temperature modulation) and redundancy (replicates of sensors and different load resistors) in odor quantification and discrimination tasks, we have acquired two datasets and modeled the data using multi-way techniques.

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