A Low Cost Electronic Nose with a GMM-UBM Approach for Wood Species Verification

Naren Mantilla-Ramirez, Homero Ortega-Boada, Milton Paja-Sarria, Alexander Sepúlveda-Sepúlveda

2020

Abstract

Deforestation endangers some vulnerable wood species. Although there are effective timber species identification methods, they are typically expensive and time-consuming, they must be carried out by experts and they are not applicable to places far from main cities. In contrast, we propose to use electronic noses to identify timber species, e.g. during their transportation process, from the volatile compounds that timbers emanate. In the present work, it is proposed a method for timber species detection from their aromas. The measurements of the volatile compounds are made by an array of 16 chemical sensors, whose curves are the inputs to a pattern recognition system. Detection is performed by using Gaussian mixture modeling with Universal Background Model. In contrast to previous works, in this work, we apply a new approach to the problem of timer species detection; furthermore, the sample collection conditions are closer to those found in real situations; and, the number of samples used is larger and more varied. We found an EER (equal error rate) of 24.18% for cedar verification and an EER of 33.62% for 4-timber species verification.

Paper Citation

in Harvard Style

Mantilla-Ramirez N., Ortega-Boada H., Paja-Sarria M. and Sepúlveda-Sepúlveda A. (2020). A Low Cost Electronic Nose with a GMM-UBM Approach for Wood Species Verification. In Proceedings of the 9th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM, ISBN 978-989-758-397-1, pages 333-341. DOI: 10.5220/0008978003330341

in Bibtex Style

@conference{icpram20,
author={Naren Mantilla-Ramirez and Homero Ortega-Boada and Milton Paja-Sarria and Alexander Sepúlveda-Sepúlveda},
title={A Low Cost Electronic Nose with a GMM-UBM Approach for Wood Species Verification},
booktitle={Proceedings of the 9th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,},
year={2020},
pages={333-341},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0008978003330341},
isbn={978-989-758-397-1},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 9th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,
TI - A Low Cost Electronic Nose with a GMM-UBM Approach for Wood Species Verification
SN - 978-989-758-397-1
AU - Mantilla-Ramirez N.
AU - Ortega-Boada H.
AU - Paja-Sarria M.
AU - Sepúlveda-Sepúlveda A.
PY - 2020
SP - 333
EP - 341
DO - 10.5220/0008978003330341