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TensorBeat: Tensor Decomposition for Monitoring Multiperson Breathing Beats with Commodity WiFi

Authors:

Shiwen MaoAuthors Info & Claims

ACM Transactions on Intelligent Systems and Technology (TIST), Volume 9, Issue 1

Article No.: 8, Pages 1 - 27

https://doi.org/10.1145/3078855

Published: 04 September 2017 Publication History

Abstract

Breathing signal monitoring can provide important clues for health problems. Compared to existing techniques that require wearable devices and special equipment, a more desirable approach is to provide contact-free and long-term breathing rate monitoring by exploiting wireless signals. In this article, we propose TensorBeat, a system to employ channel state information (CSI) phase difference data to intelligently estimate breathing rates for multiple persons with commodity WiFi devices. The main idea is to leverage the tensor decomposition technique to handle the CSI phase difference data. The proposed TensorBeat scheme first obtains CSI phase difference data between pairs of antennas at the WiFi receiver to create CSI tensors. Then canonical polyadic (CP) decomposition is applied to obtain the desired breathing signals. A stable signal matching algorithm is developed to identify the decomposed signal pairs, and a peak detection method is applied to estimate the breathing rates for multiple persons. Our experimental study shows that TensorBeat can achieve high accuracy under different environments for multiperson breathing rate monitoring.

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Cited By

Zhu YLiang QCui K(2024)Fresnel Zone Theory Based Non-Line-of-Sight Respiration Behavior Detection Using USRPProceedings of the 2024 7th International Conference on Signal Processing and Machine Learning10.1145/3686490.3686495(34-41)Online publication date: 12-Jul-2024
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Li BRen YWang YYang J(2024)SpaceBeat: Identity-aware Multi-person Vital Signs Monitoring Using Commodity WiFiProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36785908:3(1-23)Online publication date: 9-Sep-2024
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Index Terms

TensorBeat: Tensor Decomposition for Monitoring Multiperson Breathing Beats with Commodity WiFi
1. Applied computing
  1. Life and medical sciences
    1. Health care information systems
2. Computing methodologies
  1. Machine learning
    1. Machine learning approaches

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Published In

cover image ACM Transactions on Intelligent Systems and Technology

ACM Transactions on Intelligent Systems and Technology Volume 9, Issue 1

Regular Papers and Special Issue: Data-driven Intelligence for Wireless Networking

January 2018

258 pages

ISSN:2157-6904

EISSN:2157-6912

DOI:10.1145/3134224

Editor:
Yu Zheng
Microsoft Research, China

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Copyright © 2017 ACM.

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Publication History

Published: 04 September 2017

Accepted: 01 February 2017

Revised: 01 January 2017

Received: 01 November 2016

Published in TIST Volume 9, Issue 1

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Cited By

Zhu YLiang QCui K(2024)Fresnel Zone Theory Based Non-Line-of-Sight Respiration Behavior Detection Using USRPProceedings of the 2024 7th International Conference on Signal Processing and Machine Learning10.1145/3686490.3686495(34-41)Online publication date: 12-Jul-2024
https://dl.acm.org/doi/10.1145/3686490.3686495
Li BRen YWang YYang J(2024)SpaceBeat: Identity-aware Multi-person Vital Signs Monitoring Using Commodity WiFiProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36785908:3(1-23)Online publication date: 9-Sep-2024
https://dl.acm.org/doi/10.1145/3678590
Wang ZChen ZZhang YGeng CSong WSun ZGuo BYu ZChen L(2024)GrainSense: A Wireless Grain Moisture Sensing System Based on Wi-Fi SignalsProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36785898:3(1-25)Online publication date: 9-Sep-2024
https://dl.acm.org/doi/10.1145/3678589
Abu Ali NRehman MMumtaz SKhan MHayajneh MUllah FShah R(2024)Contactless Diseases Diagnoses Using Wireless Communication Sensing: Methods and Challenges SurveyACM Computing Surveys10.1145/364835256:9(1-29)Online publication date: 16-Feb-2024
https://dl.acm.org/doi/10.1145/3648352
Ratnam VChen HChang HSehgal AZhang J(2024)Optimal Preprocessing of WiFi CSI for Sensing ApplicationsIEEE Transactions on Wireless Communications10.1109/TWC.2024.337633223:9_Part_1(10820-10833)Online publication date: 1-Sep-2024
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Xie XZhang DLi YHu YSun QChen Y(2024)Robust WiFi Respiration Sensing in the Presence of Interfering IndividualIEEE Transactions on Mobile Computing10.1109/TMC.2023.334887923:8(8447-8462)Online publication date: 1-Aug-2024
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Xie WWang HFeng ZMa C(2024)A Novel PHY-Layer Spoofing Attack Detection Scheme Based on WGAN-Encoder ModelIEEE Transactions on Information Forensics and Security10.1109/TIFS.2024.346037319(8616-8629)Online publication date: 2024
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Chen XZou YLi CXiao W(2024)A Deep Learning Based Lightweight Human Activity Recognition System Using Reconstructed WiFi CSIIEEE Transactions on Human-Machine Systems10.1109/THMS.2023.334869454:1(68-78)Online publication date: Feb-2024
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Wang WWang BZeng XRay Liu K(2024)WiResP: A Robust Wi-Fi-Based Respiration Monitoring via Spectrum EnhancementIEEE Sensors Journal10.1109/JSEN.2024.339911024:13(20999-21011)Online publication date: 1-Jul-2024
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Zheng YYang ZLuo BChu PZhou J(2024)Continuous Respiratory Rate Estimation Approach Based on Phase Features Using Array Radar in Home Sleeping MonitoringIEEE Sensors Journal10.1109/JSEN.2024.339234024:12(19352-19363)Online publication date: 15-Jun-2024
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