Indicators of gas source proximity using metal oxide sensors in a turbulent environment

Achim J. Lilienthal, Tom Duckett, Hiroshi Ishida, Felix Werner

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

25 Scopus citations

Abstract

This paper addresses the problem of estimating proximity to a gas source using concentration measurements. In particular, we consider the problem of gas source declaration by a mobile robot equipped with metal oxide sensors in a turbulent indoor environment. While previous work has shown that machine learning classifiers can be trained to detect close proximity to a gas source, it is difficult to interpret the learned models. This paper investigates possible underlying indicators of gas source proximity, comparing three different statistics derived from the sensor measurements of the robot. A correlation analysis of 1056 trials showed that response variance (measured as standard deviation) was a better indicator than average response. An improved result was obtained when the standard deviation was normalized to the average response for each trial, a strategy that also reduces calibration problems.

Original languageEnglish
Title of host publicationProceedings of the First IEEE/RAS-EMBS International Conference on Biomedical Robotics and Biomechatronics, 2006, BioRob 2006
Pages733-738
Number of pages6
DOIs
StatePublished - 2006
Externally publishedYes
Event1st IEEE/RAS-EMBS International Conference on Biomedical Robotics and Biomechatronics, 2006, BioRob 2006 - Pisa, Italy
Duration: 20 Feb 200622 Feb 2006

Publication series

NameProceedings of the First IEEE/RAS-EMBS International Conference on Biomedical Robotics and Biomechatronics, 2006, BioRob 2006
Volume2006

Conference

Conference1st IEEE/RAS-EMBS International Conference on Biomedical Robotics and Biomechatronics, 2006, BioRob 2006
Country/TerritoryItaly
CityPisa
Period20/02/0622/02/06

Keywords

  • Gas source localisation
  • Mobile nose
  • Turbulent gas distribution

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