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.