Movement detection using a reciprocal received signal strength model

Ossi Kaltiokallio; Hüseyin Yigitler

doi:10.1109/ICASSP39728.2021.9414717

Movement detection using a reciprocal received signal strength model

Ossi Kaltiokallio, Hüseyin Yigitler

Electrical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

2 Citations (Scopus)

20 Downloads (Pure)

Abstract

Received signal strength measurements of commodity radios can be utilized for sensing the surrounding environment. This work harnesses the signal strength measurements for estimating time periods when a person is stationary and moving. A novel reciprocal signal strength model is presented, and an energy detector is developed. It is shown that the decision threshold can be calculated in closed form for the proposed model. In addition, the observation time window can be minimized to one communication cycle which equals 58 milliseconds in our case. Using real-world experimental data from two different environments, it is demonstrated that movement can be correctly detected over 99% of the time.

Original language	English
Title of host publication	2021 IEEE International Conference on Acoustics, Speech, and Signal Processing
Subtitle of host publication	ICASSP 2021
Publisher	IEEE
Pages	8318-8322
Number of pages	5
Volume	2021-June
ISBN (Electronic)	978-1-7281-7605-5
DOIs	https://doi.org/10.1109/ICASSP39728.2021.9414717
Publication status	Published - 2021
Publication type	A4 Article in conference proceedings
Event	IEEE International Conference on Acoustics, Speech and Signal Processing - Metro Toronto Convention Centre, Toronto, Canada Duration: 6 Jun 2021 → 11 Jun 2021 Conference number: 46 https://2021.ieeeicassp.org

Publication series

Name	Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing
ISSN (Print)	1520-6149
ISSN (Electronic)	2379-190X

Conference

Conference	IEEE International Conference on Acoustics, Speech and Signal Processing
Abbreviated title	ICASSP
Country/Territory	Canada
City	Toronto
Period	6/06/21 → 11/06/21
Internet address	https://2021.ieeeicassp.org

Keywords

Energy detector
Movement detection
Received signal strength
Reciprocal channel

Publication forum classification

Publication forum level 1

ASJC Scopus subject areas

Software
Signal Processing
Electrical and Electronic Engineering

Access to Document

10.1109/ICASSP39728.2021.9414717

movement_detection_using_a_reciprocal_received
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Kaltiokallio, O., & Yigitler, H. (2021). Movement detection using a reciprocal received signal strength model. In 2021 IEEE International Conference on Acoustics, Speech, and Signal Processing: ICASSP 2021 (Vol. 2021-June, pp. 8318-8322). (Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing). IEEE. https://doi.org/10.1109/ICASSP39728.2021.9414717

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title = "Movement detection using a reciprocal received signal strength model",

abstract = "Received signal strength measurements of commodity radios can be utilized for sensing the surrounding environment. This work harnesses the signal strength measurements for estimating time periods when a person is stationary and moving. A novel reciprocal signal strength model is presented, and an energy detector is developed. It is shown that the decision threshold can be calculated in closed form for the proposed model. In addition, the observation time window can be minimized to one communication cycle which equals 58 milliseconds in our case. Using real-world experimental data from two different environments, it is demonstrated that movement can be correctly detected over 99% of the time.",

keywords = "Energy detector, Movement detection, Received signal strength, Reciprocal channel",

author = "Ossi Kaltiokallio and H{\"u}seyin Yigitler",

note = "Publisher Copyright: {\textcopyright} 2021 IEEE jufoid=57409; IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP ; Conference date: 06-06-2021 Through 11-06-2021",

year = "2021",

doi = "10.1109/ICASSP39728.2021.9414717",

language = "English",

volume = "2021-June",

series = "Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing",

publisher = "IEEE",

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Kaltiokallio, O & Yigitler, H 2021, Movement detection using a reciprocal received signal strength model. in 2021 IEEE International Conference on Acoustics, Speech, and Signal Processing: ICASSP 2021. vol. 2021-June, Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, IEEE, pp. 8318-8322, IEEE International Conference on Acoustics, Speech and Signal Processing, Toronto, Canada, 6/06/21. https://doi.org/10.1109/ICASSP39728.2021.9414717

Movement detection using a reciprocal received signal strength model. / Kaltiokallio, Ossi; Yigitler, Hüseyin.
2021 IEEE International Conference on Acoustics, Speech, and Signal Processing: ICASSP 2021. Vol. 2021-June IEEE, 2021. p. 8318-8322 (Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

TY - GEN

T1 - Movement detection using a reciprocal received signal strength model

AU - Kaltiokallio, Ossi

AU - Yigitler, Hüseyin

N1 - Conference code: 46

PY - 2021

Y1 - 2021

N2 - Received signal strength measurements of commodity radios can be utilized for sensing the surrounding environment. This work harnesses the signal strength measurements for estimating time periods when a person is stationary and moving. A novel reciprocal signal strength model is presented, and an energy detector is developed. It is shown that the decision threshold can be calculated in closed form for the proposed model. In addition, the observation time window can be minimized to one communication cycle which equals 58 milliseconds in our case. Using real-world experimental data from two different environments, it is demonstrated that movement can be correctly detected over 99% of the time.

AB - Received signal strength measurements of commodity radios can be utilized for sensing the surrounding environment. This work harnesses the signal strength measurements for estimating time periods when a person is stationary and moving. A novel reciprocal signal strength model is presented, and an energy detector is developed. It is shown that the decision threshold can be calculated in closed form for the proposed model. In addition, the observation time window can be minimized to one communication cycle which equals 58 milliseconds in our case. Using real-world experimental data from two different environments, it is demonstrated that movement can be correctly detected over 99% of the time.

KW - Energy detector

KW - Movement detection

KW - Received signal strength

KW - Reciprocal channel

U2 - 10.1109/ICASSP39728.2021.9414717

DO - 10.1109/ICASSP39728.2021.9414717

M3 - Conference contribution

AN - SCOPUS:85115059217

VL - 2021-June

T3 - Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing

SP - 8318

EP - 8322

BT - 2021 IEEE International Conference on Acoustics, Speech, and Signal Processing

PB - IEEE

T2 - IEEE International Conference on Acoustics, Speech and Signal Processing

Y2 - 6 June 2021 through 11 June 2021

ER -

Movement detection using a reciprocal received signal strength model

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