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^*

^*Tämän työn vastaava kirjoittaja

Tutkimustuotos: Konferenssiartikkeli › Tieteellinen › vertaisarvioitu

2 Sitaatiot (Scopus)

23 Lataukset (Pure)

Abstrakti

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.

Alkuperäiskieli	Englanti
Otsikko	2021 IEEE International Conference on Acoustics, Speech, and Signal Processing
Alaotsikko	ICASSP 2021
Kustantaja	IEEE
Sivut	8318-8322
Sivumäärä	5
Vuosikerta	2021-June
ISBN (elektroninen)	978-1-7281-7605-5
DOI - pysyväislinkit	https://doi.org/10.1109/ICASSP39728.2021.9414717
Tila	Julkaistu - 2021
OKM-julkaisutyyppi	A4 Artikkeli konferenssijulkaisussa
Tapahtuma	IEEE International Conference on Acoustics, Speech and Signal Processing - Metro Toronto Convention Centre, Toronto, Kanada Kesto: 6 kesäk. 2021 → 11 kesäk. 2021 Konferenssinumero: 46 https://2021.ieeeicassp.org

Julkaisusarja

Nimi	Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing
ISSN (painettu)	1520-6149
ISSN (elektroninen)	2379-190X

Conference

Conference	IEEE International Conference on Acoustics, Speech and Signal Processing
Lyhennettä	ICASSP
Maa/Alue	Kanada
Kaupunki	Toronto
Ajanjakso	6/06/21 → 11/06/21
www-osoite	https://2021.ieeeicassp.org

Julkaisufoorumi-taso

Jufo-taso 1

!!ASJC Scopus subject areas

Software
Signal Processing
Electrical and Electronic Engineering

Pääsy asiakirjaan

10.1109/ICASSP39728.2021.9414717

movement_detection_using_a_reciprocal_received
This publication is copyrighted. You may download, display and print it for Your own personal use. Commercial use is prohibited.
Accepted author manuscript, 607 KBLisenssi: Unspecified

https://urn.fi/URN:NBN:fi:tuni-202202071858Lisenssi: Unspecified

Siteeraa tätä

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

@inproceedings{6612daab10944301a0f469fa56f9d4dc,

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",

pages = "8318--8322",

booktitle = "2021 IEEE International Conference on Acoustics, Speech, and Signal Processing",

address = "United States",

url = "https://2021.ieeeicassp.org",

}

Kaltiokallio, O & Yigitler, H 2021, Movement detection using a reciprocal received signal strength model. julkaisussa 2021 IEEE International Conference on Acoustics, Speech, and Signal Processing: ICASSP 2021. Vuosikerta 2021-June, Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, IEEE, Sivut 8318-8322, IEEE International Conference on Acoustics, Speech and Signal Processing, Toronto, Kanada, 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. Vuosikerta 2021-June IEEE, 2021. s. 8318-8322 (Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing).

Tutkimustuotos: Konferenssiartikkeli › Tieteellinen › vertaisarvioitu

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 -

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

Movement detection using a reciprocal received signal strength model

Abstrakti

Julkaisusarja

Conference

Julkaisufoorumi-taso

!!ASJC Scopus subject areas

Pääsy asiakirjaan

Sormenjälki

Siteeraa tätä