Indoor Localisation using Aroma Fingerprints: A First Sniff

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    Abstract

    Electronic noses (eNoses) can detect and classify a large variety of smells. They are, in general, much more sensitive than the human nose. Could they identify different indoor locations based on the locations' characteristic combinations of airborne chemicals? We study in this paper how well location can be determined in an indoor environment using only measurements from an ion mobility spectrometry eNose and a K nearest neighbour (KNN) classifier. Based on the results of test with real-world data eNose-based localisation seems to have potential but there are several questions and issues that still have to be addressed. This paper provides therefore a discussion of questions and issues that have to be studied in the future, and proposes potential solutions.
    Original languageEnglish
    Title of host publication2017 14th Workshop on Positioning, Navigation and Communications (WPNC)
    Place of PublicationBremen, Germany
    PublisherIEEE
    ISBN (Electronic)978-1-5386-3089-1
    DOIs
    Publication statusPublished - Oct 2017
    Publication typeA4 Article in conference proceedings
    EventWORKSHOP ON POSITIONING, NAVIGATION AND COMMUNICATION -
    Duration: 1 Jan 1900 → …

    Publication series

    Name
    ISSN (Print)2164-9758

    Conference

    ConferenceWORKSHOP ON POSITIONING, NAVIGATION AND COMMUNICATION
    Period1/01/00 → …

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    • Publication forum level 0

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