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Related Experiment Video

Updated: May 2, 2026

Author Spotlight: Exploring Olfactory Influences on Corticospinal Excitability - Insights and Innovations in Neurological Research

Author Spotlight: Exploring Olfactory Influences on Corticospinal Excitability - Insights and Innovations in Neurological Research

Published on: January 19, 2024

Data simulation in machine olfaction with the R package chemosensors.

Andrey Ziyatdinov¹, Alexandre Perera-Lluna¹

¹Department of ESAII, Universitat Politènica de Catalunya, Barcelona, Spain ; Centro de Investigación Biomèdica en Red en Bioingeniería, Biomateriales y Nanomedicina (CIBER-BBN), Barcelona, Spain.

|March 4, 2014

Summary

This study introduces chemosensors, an R package for simulating gas sensor array data in machine olfaction. This tool enables robust algorithm testing and development for enhanced artificial olfactory systems.

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Area of Science:

Computational chemistry
Artificial intelligence
Sensor technology

Background:

Machine olfaction relies heavily on robust signals and data processing for gas sensor array applications.
Standardized benchmarking for algorithms in this field is currently lacking.

Purpose of the Study:

To introduce a novel software package for simulating parameterized sensor array data in machine olfaction.
To facilitate the development and testing of data processing algorithms for artificial olfactory systems.

Main Methods:

Development of the 'chemosensors' R package, an open-access, platform-independent tool.
Introduction of a 'virtual sensor array' concept for data generation.
Description of a data simulation workflow including scenario definition, parameterization, and data generation.

Main Results:

Demonstration of simulated data processing for benchmarking classification algorithms.
Evaluation of linear and non-linear regression algorithms using simulated data.
Application of biologically inspired processing techniques to the generated sensor array data.

Conclusions:

The 'chemosensors' package provides a valuable tool for data simulation in machine olfaction.
The proposed workflow enables robust testing and development of algorithms for artificial olfactory systems.