Stand-off detection of human presence and movement using IEEE 802.11ac beamforming reports

Navod Suraweera, Alycia Winter, Julian Sorensen, Mark Johnson, Shenghong Li, Iain B. Collings, Stephen V. Hanly, Wei Ni, Mark Hedley

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contribution

Abstract

This paper considers the problem of stand-off detection of human presence and movement in indoor environments. We develop a novel approach using IEEE 802.11ac compressed beamforming reports (CBRs). In the proposed system, a sniffer device collects CBRs communicated between devices inside an indoor environment by listening to the IEEE 802.11ac channels. We translate the problem into a multi-class image classification problem. We develop a discrete Fourier transform (DFT) based feature extraction technique to generate input features which vary significantly across different classes of the classification problem. The pattern of these interclass variations of extracted features remains consistent across different indoor environments. The proposed system was trained and tested using measurements from offices, meeting rooms and lecture theatres. It achieved an accuracy higher than 90% even for rooms that were not included as part of the training set.

Original languageEnglish
Title of host publication2019, 13th International Conference on Signal Processing and Communication Systems, (ICSPCS)
Subtitle of host publicationproceedings
EditorsTadeusz A. Wysocki, Beata J. Wysocki
Place of PublicationPiscataway, NJ
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages1-7
Number of pages7
ISBN (Electronic)9781728121949, 9781728121932
ISBN (Print)9781728121956
DOIs
Publication statusPublished - 2019
Event13th International Conference on Signal Processing and Communication Systems, ICSPCS 2019 - Gold Coast, Australia
Duration: 16 Dec 201918 Dec 2019

Conference

Conference13th International Conference on Signal Processing and Communication Systems, ICSPCS 2019
CountryAustralia
CityGold Coast
Period16/12/1918/12/19

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  • Cite this

    Suraweera, N., Winter, A., Sorensen, J., Johnson, M., Li, S., Collings, I. B., ... Hedley, M. (2019). Stand-off detection of human presence and movement using IEEE 802.11ac beamforming reports. In T. A. Wysocki, & B. J. Wysocki (Eds.), 2019, 13th International Conference on Signal Processing and Communication Systems, (ICSPCS): proceedings (pp. 1-7). Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/ICSPCS47537.2019.9008692