Tutorial: eNose: Review of Commercial Products, Feature Extraction, Classification Techniques and Applications


The creation of the first electronic nose was conducted for many years ago, and since that we have seen with astonishment research progress in the different areas, from the apparition of new sensors to the creation of complex techniques classification continually. Researchers aim to study the use of eNoses in different areas, not to mention in more daring applications, such as in medicine. Companies and investors realized from the beginning an enormous potential in manufacturing eNoses. It is important to know where we stand with regard to eNoses research, especially in which direction research will focus in the coming years.

This tutorial will summarize the overall progress in eNoses research in recent years The tutorial will cover the following topics:

  • eNoses electronic circuit structure and sensors
  • Adquisition data system: ADC and microcontroller
  • Feature extraction: Two and three dimensional
  • Classification technologies: neural networks, machine learning, data science


Speaker Bios

José Pelegrí Sebastiá received his MSc degree in physics in 1994 and electronic engineering degree in 1998 and PhD degree in 2002 from Universidad of Valencia, Spain. His thesis topic involved the study of GMR sensors and its applications. He is currently an associated professor at the Electronic Engineering Department in the EPSG-Universitat Politècnica de Valencia, Spain. His research interests include instrumentation systems,

characterization sensors (especially magnetic sensors, gas sensors and its industrial applications), and network sensors. Is a member of IGIC Institute (UPV).

José Chilo has got his B.Sc. degree in industrial engineering from University of San Agustin Arequipa, Perú in 1986, and B.Sc. degree in electrical engineering from Royal Institute of Technology (KTH), Kista, Sweden in 2001. He has got his Ph D in physics from the Royal Institute of Technology in 2008 where he conducted research on signal and data processing, in particular advanced measuring techniques and event

classification. He is an Associate Professor working with different research projects at University of Gävle in Sweden.