research-article

FreeSense: A Robust Approach for Indoor Human Detection Using Wi-Fi Signals

Authors:

Jacqueline Chi Kei Lam,

Zhiwen YuAuthors Info & Claims

Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, Volume 2, Issue 3

Article No.: 143, Pages 1 - 23

https://doi.org/10.1145/3264953

Published: 18 September 2018 Publication History

Abstract

Human detection aims to monitor how people are moving in an area of interest. There are many potential applications such as asset security monitoring, emergency management, and elderly care, etc. With the development of wireless sensing technique, Wi-Fi-based human detection method carries great potential due to advantages of pervasive accessibility and coverage flexibility. Previous studies have investigated the detection of human movements via signal variations. However, affected by noises, such as multi-path effect and device difference, existing approaches cannot achieve high accuracy and low false alarm rate at the same time. In this paper, we propose FreeSense, a novel Wi-Fi-based approach for human detection. Different from previous studies that characterize the variation of temporal wireless signals or calculate the deviation of Channel State Information (CSIs) from a normal profile, we will detect human movements by identifying whether there is any phase difference between the amplitude waveforms of multiple receiving antennas. In addition, we also model the sensing coverage for movements of different granularities in open space and propose a method to estimate the coverage range. Extensive experiments demonstrate that FreeSense can achieve an average false positive rate (FP) of 0.53% and an average false negative rate (FN) of 1.40%. The coverage range estimation method can achieve an average accuracy of 1.36 m, sufficient to guide the deployment of devices for human detection indoors.

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Cited By

Yao ZWang XNiu KZheng RWang JZhang DGanesan DShi W(2024)WiProfile: Unlocking Diffraction Effects for Sub-Centimeter Target Profiling Using Commodity WiFi DevicesProceedings of the 30th Annual International Conference on Mobile Computing and Networking10.1145/3636534.3649355(185-199)Online publication date: 29-May-2024
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Published In

cover image Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies

Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies Volume 2, Issue 3

September 2018

1536 pages

EISSN:2474-9567

DOI:10.1145/3279953

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Copyright © 2018 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Publication History

Published: 18 September 2018

Accepted: 01 September 2018

Revised: 01 April 2018

Received: 01 February 2018

Published in IMWUT Volume 2, Issue 3

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Cited By

Yao ZWang XNiu KZheng RWang JZhang DGanesan DShi W(2024)WiProfile: Unlocking Diffraction Effects for Sub-Centimeter Target Profiling Using Commodity WiFi DevicesProceedings of the 30th Annual International Conference on Mobile Computing and Networking10.1145/3636534.3649355(185-199)Online publication date: 29-May-2024
https://dl.acm.org/doi/10.1145/3636534.3649355
Wang ZGuo YRen ZSong WSun ZChen CGuo BYu Z(2024)LiqDetectorProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36314437:4(1-24)Online publication date: 12-Jan-2024
https://dl.acm.org/doi/10.1145/3631443
Sun ZYu ZWang QWang ZGuo BZhang H(2024)CovertEye: Gait-based Human Identification under Weakly Constrained TrajectoryIEEE Transactions on Mobile Computing10.1109/TMC.2023.3310508(1-13)Online publication date: 2024
https://doi.org/10.1109/TMC.2023.3310508
Xie YLi YDjurić PDas SStanaćević M(2024)Optimized Channel Phase Estimation in Passive RF Tag Network2024 IEEE International Conference on RFID (RFID)10.1109/RFID62091.2024.10582689(1-6)Online publication date: 4-Jun-2024
https://doi.org/10.1109/RFID62091.2024.10582689
Lyons NSantra ARamanna VUln KTaori RPandey A(2024)WIFIACT: Enhancing Human Sensing Through Environment Robust Preprocessing And Bayesian Self-Supervised LearningICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)10.1109/ICASSP48485.2024.10446566(13391-13395)Online publication date: 14-Apr-2024
https://doi.org/10.1109/ICASSP48485.2024.10446566
Zhang YWang XWen JZhu X(2024)WiFi-based non-contact human presence detection technologyScientific Reports10.1038/s41598-024-54077-x14:1Online publication date: 13-Feb-2024
https://doi.org/10.1038/s41598-024-54077-x
Zhou YLi CChen HZhang QEskicioglu RHuang PPatwari N(2023)RIStealth: Practical and Covert Physical-Layer Attack against WiFi-based Intrusion Detection via Reconfigurable Intelligent SurfaceProceedings of the 21st ACM Conference on Embedded Networked Sensor Systems10.1145/3625687.3625790(195-208)Online publication date: 12-Nov-2023
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Zhang HWang ZSun ZSong WRen ZYu ZGuo B(2023)Understanding the Mechanism of Through-Wall Wireless SensingProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/35694946:4(1-28)Online publication date: 11-Jan-2023
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Lei SSun ZYu ZWang ZGuo B(2023)CrowdFi: A Communication Efficient Multi-device Wi-Fi Sensing SystemProceedings of the 25th International Conference on Mobile Human-Computer Interaction10.1145/3565066.3608697(1-7)Online publication date: 26-Sep-2023
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Davuluri KMottakin KSong ZLu JAllison M(2023)BMEye: Public Health-Oriented Body Mass Index Monitoring Using Commodity WiFi2023 IEEE 9th World Forum on Internet of Things (WF-IoT)10.1109/WF-IoT58464.2023.10539515(1-6)Online publication date: 12-Oct-2023
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