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A Survey on Seismic Sensor based Target Detection, Localization, Identification, and Activity Recognition

Published: 09 February 2023 Publication History

Abstract

Current sensor technologies facilitate device-free and non-invasive monitoring of target activities and infrastructures to ensure a safe and inhabitable environment. Device-free techniques for sensing the surrounding environment are an emerging area of research where a target does not need to carry or attach any device to provide information about its motion or the surrounding environment. Consequently, there has been an increasing interest in device-free sensing. Seismic sensors are extremely effective tools for gathering target motion information. In this paper, we provide a comprehensive overview of the seismic sensor-based device-free sensing process and highlight the key techniques within the research field. We classify the existing literature into three categories, viz., (i) target detection, (ii) target localization, and (iii) target identification, and activity recognition. The techniques in each category are divided into multiple subcategories in a structured manner to comprehensively discuss the details. We also discuss the challenges associated with contemporary cutting-edge research and suggest potential solutions.

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  1. A Survey on Seismic Sensor based Target Detection, Localization, Identification, and Activity Recognition

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    cover image ACM Computing Surveys
    ACM Computing Surveys  Volume 55, Issue 11
    November 2023
    849 pages
    ISSN:0360-0300
    EISSN:1557-7341
    DOI:10.1145/3572825
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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 09 February 2023
    Online AM: 19 October 2022
    Accepted: 09 October 2022
    Revised: 04 September 2022
    Received: 05 June 2021
    Published in CSUR Volume 55, Issue 11

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    Author Tags

    1. Seismic sensor
    2. device-free sensing
    3. target detection
    4. target localization
    5. target identification
    6. activity recognition

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