Movement detection using a reciprocal received signal strength model

Ossi Kaltiokallio, Hüseyin Yigitler*

*Corresponding author for this work

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

    2 Citations (Scopus)

    Abstract

    Received signal strength measurements of commodity radios can be utilized for sensing the surrounding environment. This work harnesses the signal strength measurements for estimating time periods when a person is stationary and moving. A novel reciprocal signal strength model is presented, and an energy detector is developed. It is shown that the decision threshold can be calculated in closed form for the proposed model. In addition, the observation time window can be minimized to one communication cycle which equals 58 milliseconds in our case. Using real-world experimental data from two different environments, it is demonstrated that movement can be correctly detected over 99% of the time.

    Original languageEnglish
    Title of host publicationICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing
    PublisherIEEE
    Pages8318-8322
    Number of pages5
    Volume2021-June
    ISBN (Electronic)978-1-7281-7605-5
    DOIs
    Publication statusPublished - May 2021
    MoE publication typeA4 Conference publication
    EventIEEE International Conference on Acoustics, Speech, and Signal Processing - Virtua, Online, Toronto, Canada
    Duration: 6 Jun 202111 Jun 2021

    Publication series

    NameProceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing
    ISSN (Print)1520-6149

    Conference

    ConferenceIEEE International Conference on Acoustics, Speech, and Signal Processing
    Abbreviated titleICASSP
    Country/TerritoryCanada
    CityToronto
    Period06/06/202111/06/2021

    Keywords

    • Energy detector
    • Movement detection
    • Received signal strength
    • Reciprocal channel

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