survey

A Survey on Device-free Indoor Localization and Tracking in the Multi-resident Environment

Authors:

Sira Yongchareon,

Saeed Ur RehmanAuthors Info & Claims

ACM Computing Surveys (CSUR), Volume 53, Issue 4

Article No.: 71, Pages 1 - 29

https://doi.org/10.1145/3396302

Published: 11 July 2020 Publication History

Abstract

Indoor device-free localization and tracking can bring both convenience and privacy to users compared with traditional solutions such as camera-based surveillance and RFID tag-based tracking. Technologies such as Wi-Fi, wireless sensor, and infrared have been used to localize and track people living in care homes and office buildings. However, the presence of multiple residents introduces further challenges, such as the ambiguity in sensor measurements and target identity, to localization and tracking. In this article, we survey the latest development of device-free indoor localization and tracking in the multi-resident environment. We first present the fundamentals of device-free localization and tracking. Then, we discuss and compare the technologies used in device-free indoor localization and tracking. After discussing the steps involved in multi-resident localization and tracking including target detection, target counting, target identification, localization, and tracking, the techniques related to each step are classified and discussed in detail along with the performance metrics. Finally, we identify the research gap and point out future research directions. To the best of our knowledge, this survey is the most comprehensive work that covers a wide spectrum of the research area of device-free indoor localization and tracking.

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Shokrollahi APersson JMalekian RSarkheyli-Hägele AKarlsson F(2024)Passive Infrared Sensor-Based Occupancy Monitoring in Smart Buildings: A Review of Methodologies and Machine Learning ApproachesSensors10.3390/s2405153324:5(1533)Online publication date: 27-Feb-2024
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Luckner MSowik SBrida P(2024)Selection of Signal Sources Influence at Indoor Positioning SystemIEEE Transactions on Wireless Communications10.1109/TWC.2023.327553723:1(45-57)Online publication date: 1-Jan-2024
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Index Terms

A Survey on Device-free Indoor Localization and Tracking in the Multi-resident Environment
1. General and reference
  1. Document types
    1. Surveys and overviews
2. Human-centered computing
  1. Ubiquitous and mobile computing

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cover image ACM Computing Surveys

ACM Computing Surveys Volume 53, Issue 4

July 2021

831 pages

ISSN:0360-0300

EISSN:1557-7341

DOI:10.1145/3410467

Editor:
Albert Zomaya
University of Sydney, Australia

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Publication History

Published: 11 July 2020

Online AM: 07 May 2020

Accepted: 01 April 2020

Revised: 01 October 2019

Received: 01 May 2019

Published in CSUR Volume 53, Issue 4

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https://doi.org/10.3390/s24051533
Luckner MSowik SBrida P(2024)Selection of Signal Sources Influence at Indoor Positioning SystemIEEE Transactions on Wireless Communications10.1109/TWC.2023.327553723:1(45-57)Online publication date: 1-Jan-2024
https://dl.acm.org/doi/10.1109/TWC.2023.3275537
Wang YFu JWu Z(2024)A Novel Fusion Estimation Method for RSS-AOA-Based Indoor Target TrackingIEEE Sensors Journal10.1109/JSEN.2024.340554624:14(22632-22647)Online publication date: 15-Jul-2024
https://doi.org/10.1109/JSEN.2024.3405546
Rao XLuo ZLuo YYi YLei GCao Y(2024)MFFALoc: CSI-Based Multifeatures Fusion Adaptive Device-Free Passive Indoor Fingerprinting LocalizationIEEE Internet of Things Journal10.1109/JIOT.2023.333979711:8(14100-14114)Online publication date: 15-Apr-2024
https://doi.org/10.1109/JIOT.2023.3339797
Abraha AWang B(2024)A Survey on Scalable Wireless Indoor Localization: Techniques, Approaches and DirectionsWireless Personal Communications: An International Journal10.1007/s11277-024-11300-2136:3(1455-1496)Online publication date: 1-Jun-2024
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Ciuffreda ICasaccia SRevel G(2023)A Multi-Sensor Fusion Approach Based on PIR and Ultrasonic Sensors Installed on a Robot to Localise People in Indoor EnvironmentsSensors10.3390/s2315696323:15(6963)Online publication date: 5-Aug-2023
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Chen WYang HBi XZheng RZhang FBao PChang ZMa XZhang D(2023)Environment-aware Multi-person Tracking in Indoor Environments with MmWave RadarsProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36109027:3(1-29)Online publication date: 27-Sep-2023
https://dl.acm.org/doi/10.1145/3610902
Xue JZhang JGao ZXiao W(2023)Enhanced WiFi CSI Fingerprints for Device-Free Localization With Deep Learning RepresentationsIEEE Sensors Journal10.1109/JSEN.2022.323161123:3(2750-2759)Online publication date: 1-Feb-2023
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Yang SKim Y(2023)Single 24-GHz FMCW Radar-Based Indoor Device-Free Human Localization and Posture Sensing With CNNIEEE Sensors Journal10.1109/JSEN.2022.322702523:3(3059-3068)Online publication date: 1-Feb-2023
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Chen BChang RPoor H(2023)Fast-Adapting Environment-Agnostic Device-Free Indoor Localization via Federated Meta-LearningICC 2023 - IEEE International Conference on Communications10.1109/ICC45041.2023.10278802(198-203)Online publication date: 28-May-2023
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