Passive Through-Wall Counting of People Walking Using WiFi Beamforming Reports

Suraweera, N; Winter, A; Sorensen, J; Li, S; Johnson, M; Collings, IB; Hanly, SV; Ni, W; Hedley, M

Passive Through-Wall Counting of People Walking Using WiFi Beamforming Reports

Suraweera, N Winter, A Sorensen, J Li, S Johnson, M Collings, IB Hanly, SV Ni, W

Hedley, M

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Publisher:: Institute of Electrical and Electronics Engineers
Publication Type:: Journal Article
Citation:: IEEE Systems Journal, 2021, 15, (4), pp. 5476-5482
Issue Date:: 2021-12-01

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Field	Value	Language
dc.contributor.author	Suraweera, N
dc.contributor.author	Winter, A
dc.contributor.author	Sorensen, J
dc.contributor.author	Li, S
dc.contributor.author	Johnson, M
dc.contributor.author	Collings, IB
dc.contributor.author	Hanly, SV
dc.contributor.author	Ni, W https://orcid.org/0000-0002-4933-594X
dc.contributor.author	Hedley, M
dc.date.accessioned	2022-05-20T06:34:38Z
dc.date.available	2022-05-20T06:34:38Z
dc.date.issued	2021-12-01
dc.identifier.citation	IEEE Systems Journal, 2021, 15, (4), pp. 5476-5482
dc.identifier.issn	1932-8184
dc.identifier.issn	1937-9234
dc.identifier.uri	http://hdl.handle.net/10453/157560
dc.description.abstract	This article develops a system for through-wall counting of people walking in a room, based purely on passive reception of the WiFi signals that are generated by devices in that room. We use WiFi compressed beamforming reports, collected using a sniffer node located outside the room. We propose a 2-D discrete Fourier transform (2D DFT) approach for feature extraction. As such, we formulate the counting problem as a multiclass image classification problem. Our proposed system achieves accuracies of 100%, 97.8%, 78.3%, and 93.9% in field trials with zero, one, two, and three people walking inside a room, respectively, even for rooms that were not part of the training set.
dc.language	English
dc.publisher	Institute of Electrical and Electronics Engineers
dc.relation.ispartof	IEEE Systems Journal
dc.relation.isbasedon	10.1109/JSYST.2020.3019496
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject	0906 Electrical and Electronic Engineering
dc.subject.classification	Operations Research
dc.title	Passive Through-Wall Counting of People Walking Using WiFi Beamforming Reports
dc.type	Journal Article
utslib.citation.volume	15
utslib.for	0906 Electrical and Electronic Engineering
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
utslib.copyright.status	closed_access	*
pubs.consider-herdc	false
dc.date.updated	2022-05-20T06:34:36Z
pubs.issue	4
pubs.publication-status	Published
pubs.volume	15
utslib.citation.issue	4

Abstract:

This article develops a system for through-wall counting of people walking in a room, based purely on passive reception of the WiFi signals that are generated by devices in that room. We use WiFi compressed beamforming reports, collected using a sniffer node located outside the room. We propose a 2-D discrete Fourier transform (2D DFT) approach for feature extraction. As such, we formulate the counting problem as a multiclass image classification problem. Our proposed system achieves accuracies of 100%, 97.8%, 78.3%, and 93.9% in field trials with zero, one, two, and three people walking inside a room, respectively, even for rooms that were not part of the training set.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/157560