Crowd Estimation Using Electromagnetic Wave Power-Level Measurements: A Proof of Concept

Tofigh, F; Amiri, M; Shariati, N; Lipman, J; Abolhasan, M

Crowd Estimation Using Electromagnetic Wave Power-Level Measurements: A Proof of Concept

Tofigh, F

Amiri, M Shariati, N

Lipman, J

Abolhasan, M

Permalink

Publication Type:: Journal Article
Citation:: IEEE Transactions on Vehicular Technology, 2020, 69 (1), pp. 784 - 792
Issue Date:: 2020-01-01

Closed Access

	Filename	Description	Size
	08910495.pdf	Published Version	2 MB	Adobe PDF	View/Open

Copyright Clearance Process

Recently Added
In Progress
Closed Access

This item is closed access and not available.

Full metadata record

Field	Value	Language
dc.contributor.author	Tofigh, F https://orcid.org/0000-0003-1802-488X	en_US
dc.contributor.author	Amiri, M	en_US
dc.contributor.author	Shariati, N https://orcid.org/0000-0003-4913-0351	en_US
dc.contributor.author	Lipman, J https://orcid.org/0000-0003-2877-1168	en_US
dc.contributor.author	Abolhasan, M https://orcid.org/0000-0002-4282-6666	en_US
dc.date.issued	2020-01-01	en_US
dc.identifier.citation	IEEE Transactions on Vehicular Technology, 2020, 69 (1), pp. 784 - 792	en_US
dc.identifier.issn	0018-9545	en_US
dc.identifier.uri	http://hdl.handle.net/10453/138340
dc.description.abstract	© 1967-2012 IEEE. Current crowd density estimation technologies that leverage IR depth perception, video and image processing or WiFi/BLE-based sniffing and probing have privacy and deployment issues. This paper presents a novel method for non-intrusive crowd density estimation that monitors variation in EM radiation within an environment. The human body's electrical and magnetic characteristics can be correlated with variations in available EM energy. This allows for the determination of the number of people within a room. Simulations conducted using Comsol to analyse and measure electromagnetic energy levels inside a room containing human bodies. Experimental analysis provides validation of the simulation results by showing $\text{0.8}\;\text{dBm}$ drop on the average level of EM energy per person.	en_US
dc.relation.ispartof	IEEE Transactions on Vehicular Technology	en_US
dc.relation.isbasedon	10.1109/TVT.2019.2955223	en_US
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject.classification	Automobile Design & Engineering	en_US
dc.title	Crowd Estimation Using Electromagnetic Wave Power-Level Measurements: A Proof of Concept	en_US
dc.type	Journal Article
utslib.citation.volume	1	en_US
utslib.citation.volume	69	en_US
utslib.for	08 Information and Computing Sciences	en_US
utslib.for	09 Engineering	en_US
utslib.for	10 Technology	en_US
pubs.embargo.period	Not known	en_US
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
pubs.organisational-group	/University of Technology Sydney/Strength - CRIN - Realtime Information Networks
pubs.organisational-group	/University of Technology Sydney/Strength - GBDTC - Global Big Data Technologies
utslib.copyright.status	closed_access	*
pubs.issue	1	en_US
pubs.publication-status	Published	en_US
pubs.volume	69	en_US

Abstract:

© 1967-2012 IEEE. Current crowd density estimation technologies that leverage IR depth perception, video and image processing or WiFi/BLE-based sniffing and probing have privacy and deployment issues. This paper presents a novel method for non-intrusive crowd density estimation that monitors variation in EM radiation within an environment. The human body's electrical and magnetic characteristics can be correlated with variations in available EM energy. This allows for the determination of the number of people within a room. Simulations conducted using Comsol to analyse and measure electromagnetic energy levels inside a room containing human bodies. Experimental analysis provides validation of the simulation results by showing $\text{0.8}\;\text{dBm}$ drop on the average level of EM energy per person.

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

http://hdl.handle.net/10453/138340