research-article

Towards a Dynamic Fresnel Zone Model to WiFi-based Human Activity Recognition

Authors:

Daqing ZhangAuthors Info & Claims

Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, Volume 7, Issue 2

Article No.: 65, Pages 1 - 24

https://doi.org/10.1145/3596270

Published: 12 June 2023 Publication History

Abstract

The passive WiFi sensing research has largely centered on activity sensing using fixed-location WiFi transceivers, leading to the development of several theoretical models that aim to map received WiFi signals to human activity. Of these models, the Fresnel zone model has shown to be particularly noteworthy. However, the growing popularity of mobile WiFi receivers has not been matched by corresponding research on mobile receiver-based theoretical models. This paper fills this gap by presenting the first theoretical model to quantify the impact of moving a moving receiver for WiFi sensing. We propose a novel dynamic Fresnel zone model in the free space of an indoor environment, which takes the form of a cluster of concentric hyperbolas centered on the transmitter and reflection subject. We examine three properties of this model, i.e., relating the variation in RF signals received by the receiver to the position and orientation of the human, the movement of the receiver, and the presence of other objects in the environment. To validate this model, we develop a prototype system and conduct extensive experiments. The results are consistent with our theoretical analysis, and the system is able to detect the direction of the transmitter with an accuracy of 10° or better, measure the receiver's relative motion displacement within 1 cm a millimeter-level accuracy, and classify five receiver-side activities with an accuracy of 98%. Our work moves a significant step forward in WiFi sensing and may potentially open up new avenues for future research.

References

[1]

Heba Abdelnasser, Moustafa Youssef, and Khaled A. Harras. 2015. WiGest: A ubiquitous WiFi-based gesture recognition system. In 2015 IEEE Conference on Computer Communications (INFOCOM). 1472--1480. https://doi.org/10.1109/INFOCOM.2015.7218525

[2]

aicsemi. [n.d.]. aicsemi. https://www.aicsemi.com/sy.

[3]

Kamran Ali, Alex X. Liu, Wei Wang, and Muhammad Shahzad. 2015. Keystroke Recognition Using WiFi Signals (MobiCom '15). Association for Computing Machinery, New York, NY, USA, 90--102. https://doi.org/10.1145/2789168.2790109

Digital Library

[4]

Yanling Bu, Lei Xie, Yafeng Yin, Chuyu Wang, Jingyi Ning, Jiannong Cao, and Sanglu Lu. 2022. Handwriting-Assistant: Reconstructing Continuous Strokes with Millimeter-Level Accuracy via Attachable Inertial Sensors. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 5, 4, Article 146 (dec 2022), 25 pages. https://doi.org/10.1145/3494956

Digital Library

[5]

Ke-Yu Chen, Daniel Ashbrook, Mayank Goel, Sung-Hyuck Lee, and Shwetak Patel. 2014. AirLink: Sharing Files between Multiple Devices Using in-Air Gestures. In Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing (Seattle, Washington) (UbiComp '14). Association for Computing Machinery, New York, NY, USA, 565--569. https://doi.org/10.1145/2632048.2632090

Digital Library

[6]

Weiyan Chen, Kai Niu, Deng Zhao, Rong Zheng, Dan Wu, Wei Wang, Leye Wang, and Daqing Zhang. 2020. Robust Dynamic Hand Gesture Interaction using LTE Terminals. In 19th ACM/IEEE International Conference on Information Processing in Sensor Networks, IPSN 2020, Sydney, Australia, April 21-24, 2020. IEEE, 109--120. https://doi.org/10.1109/IPSN48710.2020.00017

[7]

Xiang 'Anthony' Chen, Julia Schwarz, Chris Harrison, Jennifer Mankoff, and Scott E. Hudson. 2014. Air+touch: Interweaving Touch amp; in-Air Gestures (UIST '14). Association for Computing Machinery, New York, NY, USA, 519--525. https://doi.org/10.1145/2642918.2647392

Digital Library

[8]

Ruiyang Gao, Wenwei Li, Yaxiong Xie, Enze Yi, Leye Wang, Dan Wu, and Daqing Zhang. 2022. Towards Robust Gesture Recognition by Characterizing the Sensing Quality of WiFi Signals. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 6, 1 (2022), 1--26.

Digital Library

[9]

Ruiyang Gao, Mi Zhang, Jie Zhang, Yang Li, Enze Yi, Dan Wu, Leye Wang, and Daqing Zhang. 2021. Towards Position-Independent Sensing for Gesture Recognition with Wi-Fi. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 5, 2 (2021), 1--28.

Digital Library

[10]

Sidhant Gupta, Daniel Morris, Shwetak Patel, and Desney Tan. 2012. SoundWave: Using the Doppler Effect to Sense Gestures. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (Austin, Texas, USA) (CHI '12). Association for Computing Machinery, New York, NY, USA, 1911--1914. https://doi.org/10.1145/2207676.2208331

Digital Library

[11]

H. D. Hristov. 2000. Fresnel Zones in Wireless Links, Zone Plate Lenses and Antennas. Artech House, Inc. (2000).

[12]

Lei Jing, Yinghui Zhou, Zixue Cheng, and Tongjun Huang. 2012. Magic Ring: A Finger-Worn Device for Multiple Appliances Control Using Static Finger Gestures. Sensors (Basel, Switzerland) 12 (2012), 5775--5790.

[13]

Kiran Joshi, Dinesh Bharadia, Manikanta Kotaru, and Sachin Katti. 2015. WiDeo: Fine-grained Device-free Motion Tracing using RF Backscatter. In 12th USENIX Symposium on Networked Systems Design and Implementation (NSDI 15). USENIX Association, Oakland, CA, 189--204. https://www.usenix.org/conference/nsdi15/technical-sessions/presentation/joshi

[14]

leapmotion. [n.d.]. leapmotion. https://www.leapmotion.com/.

[15]

Xiang Li, Daqing Zhang, Qin Lv, Jie Xiong, Shengjie Li, Yue Zhang, and Hong Mei. 2017. IndoTrack: Device-free indoor human tracking with commodity Wi-Fi. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 1, 3 (2017), 1--22.

Digital Library

[16]

Kang Ling, Haipeng Dai, Yuntang Liu, and Alex X. Liu. 2018. UltraGesture: Fine-Grained Gesture Sensing and Recognition. In 2018 15th Annual IEEE International Conference on Sensing, Communication, and Networking (SECON). 1--9. https://doi.org/10.1109/SAHCN.2018.8397099

Digital Library

[17]

J. Liu, Y. Zeng, T. Gu, L. Wang, and D. Zhang. 2021. WiPhone: Smartphone-based Respiration Monitoring Using Ambient Reflected WiFi Signals. Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies 5, 1 (2021), 1--19.

Digital Library

[18]

Giulio Marin, Fabio Dominio, and Pietro Zanuttigh. 2014. Hand gesture recognition with leap motion and kinect devices. In 2014 IEEE International Conference on Image Processing (ICIP). 1565--1569. https://doi.org/10.1109/ICIP.2014.7025313

[19]

Mirosoft. [n.d.]. Kinect. http://www.microsoft.com/en-us/kinectforwindows/

[20]

Rajalakshmi Nandakumar, Vikram Iyer, Desney Tan, and Shyamnath Gollakota. 2016. FingerIO: Using Active Sonar for Fine-Grained Finger Tracking. In Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems (San Jose, California, USA) (CHI '16). Association for Computing Machinery, New York, NY, USA, 1515--1525. https://doi.org/10.1145/2858036.2858580

Digital Library

[21]

Kai Niu, Xuanzhi Wang, Fusang Zhang, Rong Zheng, Zhiyun Yao, and Daqing Zhang. 2022. Rethinking Doppler Effect for Accurate Velocity Estimation With Commodity WiFi Devices. IEEE J. Sel. Areas Commun. 40, 7 (2022), 2164--2178. https://doi.org/10.1109/JSAC.2022.3155523

[22]

Ronald W. Schafer. 2011. What Is a Savitzky-Golay Filter? [Lecture Notes]. IEEE Signal Processing Magazine 28, 4 (2011), 111--117. https://doi.org/10.1109/MSP.2011.941097

[23]

Jie Song, Gábor Sörös, Fabrizio Pece, Sean Ryan Fanello, Shahram Izadi, Cem Keskin, and Otmar Hilliges. 2014. In-Air Gestures around Unmodified Mobile Devices. In Proceedings of the 27th Annual ACM Symposium on User Interface Software and Technology (Honolulu, Hawaii, USA) (UIST '14). Association for Computing Machinery, New York, NY, USA, 319--329. https://doi.org/10.1145/2642918.2647373

Digital Library

[24]

Ke Sun, Ting Zhao, Wei Wang, and Lei Xie. 2018. VSkin: Sensing Touch Gestures on Surfaces of Mobile Devices Using Acoustic Signals. In Proceedings of the 24th Annual International Conference on Mobile Computing and Networking (New Delhi, India) (MobiCom '18). Association for Computing Machinery, New York, NY, USA, 591--605. https://doi.org/10.1145/3241539.3241568

Digital Library

[25]

Li Sun, Souvik Sen, Dimitrios Koutsonikolas, and Kyu-Han Kim. 2015. WiDraw: Enabling Hands-Free Drawing in the Air on Commodity WiFi Devices. In Proceedings of the 21st Annual International Conference on Mobile Computing and Networking (Paris, France) (MobiCom '15). Association for Computing Machinery, New York, NY, USA, 77--89. https://doi.org/10.1145/2789168.2790129

Digital Library

[26]

Sheng Tan and Jie Yang. 2016. WiFinger: Leveraging Commodity WiFi for Fine-Grained Finger Gesture Recognition. In Proceedings of the 17th ACM International Symposium on Mobile Ad Hoc Networking and Computing (Paderborn, Germany) (MobiHoc '16). Association for Computing Machinery, New York, NY, USA, 201--210. https://doi.org/10.1145/2942358.2942393

Digital Library

[27]

Tran Huy Vu, Archan Misra, Quentin Roy, Kenny Choo Tsu Wei, and Youngki Lee. 2018. Smartwatch-Based Early Gesture Detection 8 Trajectory Tracking for Interactive Gesture-Driven Applications. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 2, 1, Article 39 (mar 2018), 27 pages. https://doi.org/10.1145/3191771

Digital Library

[28]

Hao Wang, Daqing Zhang, Junyi Ma, Yasha Wang, Yuxiang Wang, Dan Wu, Tao Gu, and Bing Xie. 2016. Human respiration detection with commodity wifi devices: do user location and body orientation matter?. In Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing. 25--36.

Digital Library

[29]

Hao Wang, Daqing Zhang, Kai Niu, Qin Lv, Yuanhuai Liu, Dan Wu, Ruiyang Gao, and Bing Xie. 2017. MFDL: A multicarrier Fresnel penetration model based device-free localization system leveraging commodity Wi-Fi cards. arXiv preprint arXiv:1707.07514 (2017).

[30]

Hao Wang, Daqing Zhang, Yasha Wang, Junyi Ma, Yuxiang Wang, and Shengjie Li. 2017. RT-Fall: A Real-Time and Contactless Fall Detection System with Commodity WiFi Devices. IEEE Transactions on Mobile Computing 16, 2 (2017), 511--526. https://doi.org/10.1109/TMC.2016.2557795

Digital Library

[31]

Jue Wang, Deepak Vasisht, and Dina Katabi. 2014. RF-IDraw: Virtual Touch Screen in the Air Using RF Signals. SIGCOMM Comput. Commun. Rev. 44, 4 (aug 2014), 235--246. https://doi.org/10.1145/2740070.2626330

Digital Library

[32]

Lei Wang, Ke Sun, Haipeng Dai, Wei Wang, Kang Huang, Alex X. Liu, Xiaoyu Wang, and Qing Gu. 2021. WiTrace: Centimeter-Level Passive Gesture Tracking Using OFDM Signals. IEEE Transactions on Mobile Computing 20, 4 (2021), 1730--1745. https://doi.org/10.1109/TMC.2019.2961885

[33]

Wei Wang, Alex X. Liu, and Ke Sun. 2016. Device-Free Gesture Tracking Using Acoustic Signals. In Proceedings of the 22nd Annual International Conference on Mobile Computing and Networking (New York City, New York) (MobiCom '16). Association for Computing Machinery, New York, NY, USA, 82--94. https://doi.org/10.1145/2973750.2973764

Digital Library

[34]

Xuanzhi Wang, Niu Kai, Jie Xiong, Bochong Qian, Zhiyun Yao, Tairong Lou, and Daqing Zhang. 2022. Placement Matters: Understanding the Effects of Device Placement for WiFi Sensing. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 6 (03 2022), 1--25. https://doi.org/10.1145/3517237

Digital Library

[35]

Yuxi Wang, Kaishun Wu, and Lionel M. Ni. 2017. WiFall: Device-Free Fall Detection by Wireless Networks. IEEE Transactions on Mobile Computing 16, 2 (2017), 581--594. https://doi.org/10.1109/TMC.2016.2557792

Digital Library

[36]

Dan Wu, Ruiyang Gao, Youwei Zeng, Jinyi Liu, Leye Wang, Tao Gu, and Daqing Zhang. 2020. FingerDraw: Sub-wavelength Level Finger Motion Tracking with WiFi Signals. IMWUT 4, 1 (2020), 31:1--31:27. https://doi.org/10.1145/3380981

Digital Library

[37]

Dan Wu, Daqing Zhang, Chenren Xu, Yasha Wang, and Hao Wang. 2016. WiDir: walking direction estimation using wireless signals. In Proceedings of the 2016 ACM international joint conference on pervasive and ubiquitous computing. 351--362.

Digital Library

[38]

Jiahui Wu, Gang Pan, Daqing Zhang, Guande Qi, and Shijian Li. 2009. Gesture Recognition with a 3-D Accelerometer, Vol. 5585. 25--38. https://doi.org/10.1007/978--3--642--02830--4_4

[39]

Yanni Yang, Jiannong Cao, Xuefeng Liu, and Kai Xing. 2018. Multi-person sleeping respiration monitoring with COTS WiFi devices. In 2018 IEEE 15th International Conference on Mobile Ad Hoc and Sensor Systems (MASS). IEEE, 37--45.

[40]

Nan Yu, Wei Wang, Alex X. Liu, and Lingtao Kong. 2018. QGesture: Quantifying Gesture Distance and Direction with WiFi Signals. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 2, 1, Article 51 (mar 2018), 23 pages. https://doi.org/10.1145/3191783

Digital Library

[41]

Youwei Zeng, Dan Wu, Ruiyang Gao, Tao Gu, and Daqing Zhang. 2018. FullBreathe: Full Human Respiration Detection Exploiting Complementarity of CSI Phase and Amplitude of WiFi Signals. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 2, 3 (2018), 148.

Digital Library

[42]

Youwei Zeng, Dan Wu, Jie Xiong, Jinyi Liu, Zhaopeng Liu, and Daqing Zhang. 2020. MultiSense: Enabling multi-person respiration sensing with commodity wifi. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 4, 3 (2020), 1--29.

Digital Library

[43]

Youwei Zeng, Dan Wu, Jie Xiong, Enze Yi, Ruiyang Gao, and Daqing Zhang. 2019. Farsense: Pushing the range limit of wifi-based respiration sensing with csi ratio of two antennas. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 3, 3 (2019), 1--26.

Digital Library

[44]

Chi Zhang, Josh Tabor, Jialiang Zhang, and Xinyu Zhang. 2015. Extending Mobile Interaction Through Near-Field Visible Light Sensing. In Proceedings of the 21st Annual International Conference on Mobile Computing and Networking (Paris, France) (MobiCom '15). Association for Computing Machinery, New York, NY, USA, 345--357. https://doi.org/10.1145/2789168.2790115

Digital Library

[45]

Daqing Zhang, Hao Wang, and Dan Wu. 2017. Toward centimeter-scale human activity sensing with Wi-Fi signals. Computer 50, 1 (2017), 48--57.

Digital Library

[46]

Fusang Zhang, Kai Niu, Jie Xiong, Beihong Jin, Tao Gu, Yuhang Jiang, and Daqing Zhang. 2019. Towards a Diffraction-based Sensing Approach on Human Activity Recognition. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 3, 1 (2019), 33.

Digital Library

[47]

Fusang Zhang, Daqing Zhang, Jie Xiong, Hao Wang, Kai Niu, Beihong Jin, and Yuxiang Wang. 2018. From Fresnel Diffraction Model to Fine-Grained Human Respiration Sensing with Commodity Wi-Fi Devices. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 2, 1 (2018), 1--23.

Digital Library

Cited By

Wang ZShi YWang YYao YYan KWang YJi LXu XYu C(2024)G-VOILA: Gaze-Facilitated Information Querying in Daily ScenariosProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36596238:2(1-33)Online publication date: 15-May-2024
https://dl.acm.org/doi/10.1145/3659623
Jiang XLiu SGember-Jacobson ABhagoji ASchmitt PBronzino FFeamster N(2024)NetDiffusion: Network Data Augmentation Through Protocol-Constrained Traffic GenerationProceedings of the ACM on Measurement and Analysis of Computing Systems10.1145/36390378:1(1-32)Online publication date: 21-Feb-2024
https://dl.acm.org/doi/10.1145/3639037
Ge WMou GAgu ELee K(2024)Deep Heterogeneous Contrastive Hyper-Graph Learning for In-the-Wild Context-Aware Human Activity RecognitionProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36314447:4(1-23)Online publication date: 12-Jan-2024
https://dl.acm.org/doi/10.1145/3631444
Show More Cited By

Index Terms

Towards a Dynamic Fresnel Zone Model to WiFi-based Human Activity Recognition
1. Computer systems organization
  1. Dependable and fault-tolerant systems and networks
    1. Redundancy
  2. Embedded and cyber-physical systems
    1. Embedded systems
    2. Robotics
2. Networks
  1. Network properties
    1. Network reliability

Recommendations

WiFi-based human activity recognition through wall using deep learning
Abstract
Wireless sensing is a promising method that integrates wireless mechanisms with strong sensing capabilities. The current focus of using WiFi Channel State Information (CSI) for human activity recognition (HAR) is the line-of-sight (LoS) path, ...
Quadrature spatial modulation based multiuser MIMO transmission system

This study presents a multiuser (MU) multiple‐input multiple‐output (MIMO) downlink transmission scheme based on the quadrature spatial modulation (QSM) concept, which uses the indices of the non‐zero entries in its transmission vector to modulate and ...
Exact Error Rate Analysis of MIMO-MRC System under Cochannel Interference and Imperfect Channel State Information

In this paper, we derive closed-form solution for the bit error rate of multi-input multi-output (MIMO) system with maximum ratio combining. We consider binary PSK modulation suffers from cochannel interference (CCI) and imperfect channel state ...

Comments

Information & Contributors

Information

Published In

cover image Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies

Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies Volume 7, Issue 2

June 2023

969 pages

EISSN:2474-9567

DOI:10.1145/3604631

Issue’s Table of Contents

Copyright © 2023 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 12 June 2023

Published in IMWUT Volume 7, Issue 2

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Author Tags

Qualifiers

Research-article
Research
Refereed

Funding Sources

the National Natural Science Foundation of China
the National Natural Science Foundation of China A3 Foresight Program
the Youth Innovation Promotion Association, Chinese Academy of Sciences
the Beijing Nova Program
the Beijing Natural Science Foundation
the PKU-NTU Collaboration Project

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

16
Total Citations
View Citations
929
Total Downloads

Downloads (Last 12 months)281
Downloads (Last 6 weeks)22

Reflects downloads up to 03 Mar 2025

Other Metrics

View Author Metrics

Citations

Cited By

Wang ZShi YWang YYao YYan KWang YJi LXu XYu C(2024)G-VOILA: Gaze-Facilitated Information Querying in Daily ScenariosProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36596238:2(1-33)Online publication date: 15-May-2024
https://dl.acm.org/doi/10.1145/3659623
Jiang XLiu SGember-Jacobson ABhagoji ASchmitt PBronzino FFeamster N(2024)NetDiffusion: Network Data Augmentation Through Protocol-Constrained Traffic GenerationProceedings of the ACM on Measurement and Analysis of Computing Systems10.1145/36390378:1(1-32)Online publication date: 21-Feb-2024
https://dl.acm.org/doi/10.1145/3639037
Ge WMou GAgu ELee K(2024)Deep Heterogeneous Contrastive Hyper-Graph Learning for In-the-Wild Context-Aware Human Activity RecognitionProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36314447:4(1-23)Online publication date: 12-Jan-2024
https://dl.acm.org/doi/10.1145/3631444
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
Xue XLi XJia BDu JFu X(2024)Who Should Hold Control? Rethinking Empowerment in Home Automation among Cohabitants through the Lens of Co-DesignProceedings of the CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642866(1-19)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642866
Wu KPegoraro JMeneghello FZhang JLacruz JWidmer JRestuccia FRossi MHuang XZhang DCaire GGuo Y(2024)Sensing in Bistatic ISAC Systems With Clock Asynchronism: A signal processing perspectiveIEEE Signal Processing Magazine10.1109/MSP.2024.341872541:5(31-43)Online publication date: Sep-2024
https://doi.org/10.1109/MSP.2024.3418725
Li QHuang KDeng ZWan ZYi M(2024)A Multi-RIS-Assisted Static Environment Sensing MethodIEEE Communications Letters10.1109/LCOMM.2024.339275128:6(1317-1321)Online publication date: Jun-2024
https://doi.org/10.1109/LCOMM.2024.3392751
Li MHao ZZhang Z(2024)Ultragios: Turning Mobile Devices Into Acoustic Sensors With Sensing Gesture InformationIEEE Sensors Journal10.1109/JSEN.2024.344396824:19(30584-30599)Online publication date: 1-Oct-2024
https://doi.org/10.1109/JSEN.2024.3443968
Han YMa YLiang XLu Y(2024)TT-MSUA: A New Method for Time-of-Flight Tomography Based on a Moving Single UWB AnchorIEEE Sensors Journal10.1109/JSEN.2024.337143524:8(12853-12862)Online publication date: 15-Apr-2024
https://doi.org/10.1109/JSEN.2024.3371435
Li MWang W(2024)Hybrid Zone: Bridging Acoustic and Wi-Fi for Enhanced Gesture RecognitionIEEE INFOCOM 2024 - IEEE Conference on Computer Communications10.1109/INFOCOM52122.2024.10621132(981-990)Online publication date: 20-May-2024
https://doi.org/10.1109/INFOCOM52122.2024.10621132
Show More Cited By

View Options

Login options

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

Full Access

Get this Article

View options

PDF

View or Download as a PDF file.

eReader

View online with eReader.

Figures

Tables

Media

View Issue’s Table of Contents