RF-Eye: Training-Free Object Shape Detection Using Directional RF Antenna

Weiling ZHENG; Dian ZHANG; Peng JI; Tao GU

doi:10.1007/978-3-031-34776-4_28

RF-Eye: Training-Free Object Shape Detection Using Directional RF Antenna

Weiling ZHENG
, Dian ZHANG^*
, Peng JI
, Tao GU

^*Corresponding author for this work

Research output: Book Chapters | Papers in Conference Proceedings › Conference paper (refereed) › Referred Conference Paper › peer-review

Abstract

Detecting object shape presents significant values to applications such as Virtual Reality, Augmented Reality and surveillance. Traditional solutions usually deploy camera on site and apply image processing algorithms to obtain object shape. Wearable solutions require target to wear some devices, and apply machine learning algorithms to train and recognize object behaviors. The recent advances in Radio Frequency (RF) technology offer a device-free solution to detect object shape, however a number of research challenges exist. This paper presents RF-Eye, a novel RF-based system to detect object shape without training in indoor environments. We design and implement Linear Frequency Modulated baseband signal, making it suitable for detecting object shape. We also apply the narrow pulse signal reflections and Doppler Frequency Shift to detect the full image of object shape. We implement RF-Eye on a Universal Software Radio Peripheral device. Our experimental results show that RF-Eye achieves 100% successful rate, and it performance is reliable in complicated cases.

Original language	English
Title of host publication	Mobile and Ubiquitous Systems: Computing, Networking and Services : 19th EAI International Conference, MobiQuitous 2022, Pittsburgh, PA, USA, November 14-17, 2022, Proceedings
Editors	Shangguan LONGFEI, Priyantha BODHI
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	535-555
Number of pages	21
ISBN (Electronic)	9783031347764
ISBN (Print)	9783031347757
DOIs	https://doi.org/10.1007/978-3-031-34776-4_28
Publication status	Published - 2023
Externally published	Yes
Event	19th EAI International Conference - Pittsburgh, United States Duration: 14 Nov 2022 → 17 Nov 2022

Publication series

Name	Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
Publisher	Springer
Volume	492
ISSN (Print)	1867-8211
ISSN (Electronic)	1867-822X

Conference

Conference	19th EAI International Conference
Abbreviated title	MobiQuitous 2022
Country/Territory	United States
City	Pittsburgh
Period	14/11/22 → 17/11/22

Bibliographical note

Publisher Copyright:
© 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

Funding

This research was supported in part by NSFC 61872247.

Keywords

Device-free
Directional Antenna
Line-of-Sight
Radio Frequency

Access to Document

10.1007/978-3-031-34776-4_28

Cite this

ZHENG, W., ZHANG, D., JI, P., & GU, T. (2023). RF-Eye: Training-Free Object Shape Detection Using Directional RF Antenna. In S. LONGFEI, & P. BODHI (Eds.), Mobile and Ubiquitous Systems: Computing, Networking and Services : 19th EAI International Conference, MobiQuitous 2022, Pittsburgh, PA, USA, November 14-17, 2022, Proceedings (pp. 535-555). (Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering; Vol. 492). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-34776-4_28

ZHENG, Weiling ; ZHANG, Dian ; JI, Peng et al. / RF-Eye: Training-Free Object Shape Detection Using Directional RF Antenna. Mobile and Ubiquitous Systems: Computing, Networking and Services : 19th EAI International Conference, MobiQuitous 2022, Pittsburgh, PA, USA, November 14-17, 2022, Proceedings. editor / Shangguan LONGFEI ; Priyantha BODHI. Springer Science and Business Media Deutschland GmbH, 2023. pp. 535-555 (Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering).

@inproceedings{d046a084c60841fd8dd3479275ef036f,

title = "RF-Eye: Training-Free Object Shape Detection Using Directional RF Antenna",

abstract = "Detecting object shape presents significant values to applications such as Virtual Reality, Augmented Reality and surveillance. Traditional solutions usually deploy camera on site and apply image processing algorithms to obtain object shape. Wearable solutions require target to wear some devices, and apply machine learning algorithms to train and recognize object behaviors. The recent advances in Radio Frequency (RF) technology offer a device-free solution to detect object shape, however a number of research challenges exist. This paper presents RF-Eye, a novel RF-based system to detect object shape without training in indoor environments. We design and implement Linear Frequency Modulated baseband signal, making it suitable for detecting object shape. We also apply the narrow pulse signal reflections and Doppler Frequency Shift to detect the full image of object shape. We implement RF-Eye on a Universal Software Radio Peripheral device. Our experimental results show that RF-Eye achieves 100\% successful rate, and it performance is reliable in complicated cases.",

keywords = "Device-free, Directional Antenna, Line-of-Sight, Radio Frequency",

author = "Weiling ZHENG and Dian ZHANG and Peng JI and Tao GU",

note = "Publisher Copyright: {\textcopyright} 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.; 19th EAI International Conference, MobiQuitous 2022 ; Conference date: 14-11-2022 Through 17-11-2022",

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doi = "10.1007/978-3-031-34776-4\_28",

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editor = "Shangguan LONGFEI and Priyantha BODHI",

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ZHENG, W, ZHANG, D, JI, P & GU, T 2023, RF-Eye: Training-Free Object Shape Detection Using Directional RF Antenna. in S LONGFEI & P BODHI (eds), Mobile and Ubiquitous Systems: Computing, Networking and Services : 19th EAI International Conference, MobiQuitous 2022, Pittsburgh, PA, USA, November 14-17, 2022, Proceedings. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol. 492, Springer Science and Business Media Deutschland GmbH, pp. 535-555, 19th EAI International Conference, Pittsburgh, Pennsylvania, United States, 14/11/22. https://doi.org/10.1007/978-3-031-34776-4_28

RF-Eye: Training-Free Object Shape Detection Using Directional RF Antenna. / ZHENG, Weiling; ZHANG, Dian; JI, Peng et al.
Mobile and Ubiquitous Systems: Computing, Networking and Services : 19th EAI International Conference, MobiQuitous 2022, Pittsburgh, PA, USA, November 14-17, 2022, Proceedings. ed. / Shangguan LONGFEI; Priyantha BODHI. Springer Science and Business Media Deutschland GmbH, 2023. p. 535-555 (Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering; Vol. 492).

Research output: Book Chapters | Papers in Conference Proceedings › Conference paper (refereed) › Referred Conference Paper › peer-review

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AU - ZHENG, Weiling

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AU - JI, Peng

AU - GU, Tao

PY - 2023

Y1 - 2023

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AB - Detecting object shape presents significant values to applications such as Virtual Reality, Augmented Reality and surveillance. Traditional solutions usually deploy camera on site and apply image processing algorithms to obtain object shape. Wearable solutions require target to wear some devices, and apply machine learning algorithms to train and recognize object behaviors. The recent advances in Radio Frequency (RF) technology offer a device-free solution to detect object shape, however a number of research challenges exist. This paper presents RF-Eye, a novel RF-based system to detect object shape without training in indoor environments. We design and implement Linear Frequency Modulated baseband signal, making it suitable for detecting object shape. We also apply the narrow pulse signal reflections and Doppler Frequency Shift to detect the full image of object shape. We implement RF-Eye on a Universal Software Radio Peripheral device. Our experimental results show that RF-Eye achieves 100% successful rate, and it performance is reliable in complicated cases.

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KW - Radio Frequency

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A2 - BODHI, Priyantha

PB - Springer Science and Business Media Deutschland GmbH

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Y2 - 14 November 2022 through 17 November 2022

ER -

ZHENG W, ZHANG D, JI P, GU T. RF-Eye: Training-Free Object Shape Detection Using Directional RF Antenna. In LONGFEI S, BODHI P, editors, Mobile and Ubiquitous Systems: Computing, Networking and Services : 19th EAI International Conference, MobiQuitous 2022, Pittsburgh, PA, USA, November 14-17, 2022, Proceedings. Springer Science and Business Media Deutschland GmbH. 2023. p. 535-555. (Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering). Epub 2023 Jun 27. doi: 10.1007/978-3-031-34776-4_28

RF-Eye: Training-Free Object Shape Detection Using Directional RF Antenna

Abstract

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Keywords

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