Location estimation indoors by means of small computing power devices, accelerometers, magnetic sensors and map knowledge

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

    34 Citations (Scopus)

    Abstract

    A distributed real-time system, based on wearable accelerometers and magnetic sensors, is proposed for location estimation and recognition of walking behaviors. Suitable for both outdoor and indoor navigation, the system is especially adjusted for irregular movements indoors. The algorithm, which demands only small computing resources, performs step detection and classification in the time domain, allowing the estimation of the size of each separate step independently. Since the system finds the user's position relative to an initial position, it is intended to be supplemented with different types of absolute positioning information. Making use of map knowledge, as an easily available source of this information, is analyzed. The conclusion is drawn that referring to the locations of the corridors and stairways increases the positioning accuracy and reduces the effect of magnetic field distortions encountered inside buildings. The positioning error of different system configurations was 3-10 % from traveled distance.
    Original languageEnglish
    Title of host publicationPervasive Computing
    Pages211-224
    DOIs
    Publication statusPublished - 2002
    MoE publication typeA4 Article in a conference publication
    Event1st International Conference Pervasive 2002 - Zürich, Switzerland
    Duration: 26 Aug 200228 Aug 2002

    Publication series

    SeriesLecture Notes in Computer Science
    Volume2414
    ISSN0302-9743

    Conference

    Conference1st International Conference Pervasive 2002
    Country/TerritorySwitzerland
    CityZürich
    Period26/08/0228/08/02

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