research-article

Toward Centimeter-Scale Human Activity Sensing with Wi-Fi Signals

Authors:

Daqing Zhang,

Hao Wang,

Dan WuAuthors Info & Claims

Computer, Volume 50, Issue 1

Pages 48 - 57

https://doi.org/10.1109/MC.2017.7

Published: 01 January 2017 Publication History

Abstract

By allowing centimeter-scale human activity sensing with Wi-Fi signals, the Fresnel zone model could revolutionize wireless sensing and Internet of Things applications. The web extra at www.youtube.com/watch?v=R_vR6O8706g demonstrates how the Fresnel zone model can be leveraged for device-free sensing of human activities such as respiration and walking.

References

[1]

F.A. Jenkins and H.E. White, Fundamentals of Optics, Tata McGraw-Hill Education, 1957.

Google Scholar

[2]

G.C. Andre and H.D. Rene, Directional Radio Transmission System, <patent country=US>US patent 2,043,347</patent>, Patent and Trademark Office, 1936.

Google Scholar

[3]

J.C. Wiltse, “History and Evolution of Fresnel Zone Plate Antennas for Microwaves and Millimeter Waves,” in Proc. IEEE Antennas and Propagation Society Int'l Symp., 1999, pp. 722–725.

Crossref

Google Scholar

[4]

H.D. Hristov, Fresnel Zones in Wireless Links, Zone Plate Lenses and Antennas, Artech House, 2010.

Google Scholar

[5]

C. Liu, “RSS Distribution-Based Passive Localization and Its Application in Sensor Networks,” IEEE Trans. Wireless Communications, vol. Volume 15, no. Issue 4, 2016, pp. 2883–2895.

Digital Library

Google Scholar

Cited By

View all

Hnoohom NMekruksavanich STheeramunkong TJitpattanakul A(2024)Efficient Residual Neural Network for Human Activity Recognition using WiFi CSI SignalsProceedings of the 2024 9th International Conference on Information and Education Innovations10.1145/3664934.3664950(113-119)Online publication date: 12-Apr-2024
https://dl.acm.org/doi/10.1145/3664934.3664950
Sheng BHan RXiao FGuo ZGui L(2024)MetaFormerProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36435508:1(1-27)Online publication date: 6-Mar-2024
https://dl.acm.org/doi/10.1145/3643550
Xu XMeng XTong XLiu XXie XQu W(2024)HyperTrackingProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36314347:4(1-26)Online publication date: 12-Jan-2024
https://dl.acm.org/doi/10.1145/3631434
Show More Cited By

Recommendations

Wi-Fi Home Networking
Human-to-human interaction behaviors sensing based on complex-valued neural network using Wi-Fi channel state information
Abstract
Next generation wireless communications will not only be able to transmit information faster but also can sense the physical world, i.e., integrated sensing and communications (ISAC). How to use or share part of the equipment to realize ...
Highlights
- The impact of the position or posture of huamn body on wireless signal are analyzed.
- The differences of the subcarriers with different interaction behaviors are explored.
- We design a sensing model based on CVNN to sense 12 kinds of ...
Towards a Wi-Fi ecosystem: Technology integration and emerging service models

This paper outlines emerging business models of heterogeneous wireless networks that are mainly Wi-Fi centric. Wi-Fi networks can be integrated with the Internet and cellular infrastructures to offer innovative services (data and voice) to individuals ...

Comments

Information & Contributors

Information

Published In

Computer Volume 50, Issue 1

January 2017

81 pages

ISSN:0018-9162

Issue’s Table of Contents

Publisher

IEEE Computer Society Press

Washington, DC, United States

Publication History

Published: 01 January 2017

Qualifiers

Research-article

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

56
Total Citations
View Citations
0
Total Downloads

Downloads (Last 12 months)0
Downloads (Last 6 weeks)0

Reflects downloads up to 15 Sep 2024

Other Metrics

View Author Metrics

Citations

Cited By

View all

Hnoohom NMekruksavanich STheeramunkong TJitpattanakul A(2024)Efficient Residual Neural Network for Human Activity Recognition using WiFi CSI SignalsProceedings of the 2024 9th International Conference on Information and Education Innovations10.1145/3664934.3664950(113-119)Online publication date: 12-Apr-2024
https://dl.acm.org/doi/10.1145/3664934.3664950
Sheng BHan RXiao FGuo ZGui L(2024)MetaFormerProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36435508:1(1-27)Online publication date: 6-Mar-2024
https://dl.acm.org/doi/10.1145/3643550
Xu XMeng XTong XLiu XXie XQu W(2024)HyperTrackingProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36314347:4(1-26)Online publication date: 12-Jan-2024
https://dl.acm.org/doi/10.1145/3631434
Liu YYu AWang LGuo BLi YYi EZhang D(2024)UniFiProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36314297:4(1-29)Online publication date: 12-Jan-2024
https://dl.acm.org/doi/10.1145/3631429
Schmidhammer MGentner CWalter MSand SSiebler BFiebig U(2024)Empirical Fading Model and Bayesian Calibration for Multipath-Enhanced Device-Free LocalizationIEEE Transactions on Wireless Communications10.1109/TWC.2023.334418323:8_Part_1(8168-8183)Online publication date: 1-Aug-2024
https://dl.acm.org/doi/10.1109/TWC.2023.3344183
Wang DYang JCui WXie LSun S(2024)AirFi: Empowering WiFi-Based Passive Human Gesture Recognition to Unseen Environment via Domain GeneralizationIEEE Transactions on Mobile Computing10.1109/TMC.2022.323066523:2(1156-1168)Online publication date: 1-Feb-2024
https://dl.acm.org/doi/10.1109/TMC.2022.3230665
Lin CJi CXiong JXiang CWang LWu GZhang Q(2024)Wi-Rotate: An Instantaneous Angular Speed Measurement System Using WiFi SignalsIEEE Transactions on Mobile Computing10.1109/TMC.2022.322363323:1(985-1000)Online publication date: 1-Jan-2024
https://dl.acm.org/doi/10.1109/TMC.2022.3223633
Lin CHao SDai HYang WWang LWu GZhang Q(2024)Maximizing Charging Efficiency With Fresnel ZonesIEEE Transactions on Mobile Computing10.1109/TMC.2022.321681723:1(612-629)Online publication date: 1-Jan-2024
https://dl.acm.org/doi/10.1109/TMC.2022.3216817
Liu JLi WGu TGao RChen BZhang FWu DZhang D(2023)Towards a Dynamic Fresnel Zone Model to WiFi-based Human Activity RecognitionProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/35962707:2(1-24)Online publication date: 12-Jun-2023
https://dl.acm.org/doi/10.1145/3596270
Lei SSun ZYu ZWang ZGuo B(2023)CrowdFi: A Communication Efficient Multi-device Wi-Fi Sensing SystemProceedings of the 25th International Conference on Mobile Human-Computer Interaction10.1145/3565066.3608697(1-7)Online publication date: 26-Sep-2023
https://dl.acm.org/doi/10.1145/3565066.3608697
Show More Cited By

View Options

View options

Get Access

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Abstract

References

Cited By

Recommendations

Wi-Fi Home Networking

Human-to-human interaction behaviors sensing based on complex-valued neural network using Wi-Fi channel state information

Towards a Wi-Fi ecosystem: Technology integration and emerging service models

Comments

Information

Published In

Publisher

Publication History

Qualifiers

Contributors

Other Metrics

Bibliometrics

Article Metrics

Other Metrics

Citations

Cited By

View options

Get Access

Login options

Full Access

Figures

Other

Share

Share this Publication link

Share on social media

Affiliations