research-article

WIBECAM: Device Free Human Activity Recognition Through WiFi Beacon-Enabled Camera

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Marina RuggieriAuthors Info & Claims

WPA '15: Proceedings of the 2nd workshop on Workshop on Physical Analytics

Pages 7 - 12

https://doi.org/10.1145/2753497.2753499

Published: 22 May 2015 Publication History

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Abstract

This paper presents WIBECAM, a Human Activity Recognition system which does not require neither user instrumentation, nor specialized infrastructure, nor active operation - it passively leverages Beacon frames periodically emitted by a single off-the-shelf Wi-Fi access point. As many other recent proposals, WIBECAM also exploits the different multipath conditions (and their temporal variations) induced by human activity. In most of the previously proposed systems, the classification is based on the characterization of the signal strength variations, caused by the human activity. WIBECAM's main distinguishing aspect is that it 'watches' the channel in the frequency domain where spectral metrics, calculated on the raw signal samples of the received Beacon frames, are like 'snapshots' of the channel taken in a regular and periodical way. The classification process uses properly selected features that measure the changes of consecutive 'snapshots'. WIBECAM adapts to any Wi-Fi access point (and may comply even with legacy 802.11b-only ones), as it does not exploit neither OFDM and CSI extracted from the receiver, nor MIMO/multiple antennas. WIBECAM has been built into USRP software radios. Its classification accuracy has been preliminarily assessed for four different activities in two different environments; the resulting confusion matrices show very promising performance.

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Cited By

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Ye KWu SCai YZhou LXiao LZhang XZheng ZLin J(2024)Transfer-Learning-Based Human Activity Recognition Using Antenna ArrayRemote Sensing10.3390/rs1605084516:5(845)Online publication date: 28-Feb-2024
https://doi.org/10.3390/rs16050845
FAWAD RAHIM MHAYAMA T(2024)Mining User Activity Patterns from Time-Series Data Obtained from UWB Sensors in Indoor EnvironmentsIEICE Transactions on Information and Systems10.1587/transinf.2023IHP0002E107.D:4(459-467)Online publication date: 1-Apr-2024
https://doi.org/10.1587/transinf.2023IHP0002
Lee GAn SJang BLee S(2023)Deep Learning for Counting People from UWB Channel Impulse Response SignalsSensors10.3390/s2316709323:16(7093)Online publication date: 10-Aug-2023
https://doi.org/10.3390/s23167093
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Index Terms

WIBECAM: Device Free Human Activity Recognition Through WiFi Beacon-Enabled Camera
1. Information systems
  1. Information systems applications

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Published In

WPA '15: Proceedings of the 2nd workshop on Workshop on Physical Analytics

May 2015

54 pages

ISBN:9781450334983

DOI:10.1145/2753497

Program Chairs:
Dina Katabi
MIT, USA
,
Archan Misra
SMU, Singapore

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 ACM 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]

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SIGOPS: ACM Special Interest Group on Operating Systems

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 22 May 2015

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Research-article

Conference

MobiSys'15

Sponsor:

SIGMOBILE

MobiSys'15: The 13th Annual International Conference on Mobile Systems, Applications, and Services

May 22, 2015

Florence, Italy

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Overall Acceptance Rate 11 of 17 submissions, 65%

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Citations

Cited By

View all

Ye KWu SCai YZhou LXiao LZhang XZheng ZLin J(2024)Transfer-Learning-Based Human Activity Recognition Using Antenna ArrayRemote Sensing10.3390/rs1605084516:5(845)Online publication date: 28-Feb-2024
https://doi.org/10.3390/rs16050845
FAWAD RAHIM MHAYAMA T(2024)Mining User Activity Patterns from Time-Series Data Obtained from UWB Sensors in Indoor EnvironmentsIEICE Transactions on Information and Systems10.1587/transinf.2023IHP0002E107.D:4(459-467)Online publication date: 1-Apr-2024
https://doi.org/10.1587/transinf.2023IHP0002
Lee GAn SJang BLee S(2023)Deep Learning for Counting People from UWB Channel Impulse Response SignalsSensors10.3390/s2316709323:16(7093)Online publication date: 10-Aug-2023
https://doi.org/10.3390/s23167093
He YLiu JLi MYu GHan JRen KCosta XHassanieh HAsadi ACox LPerino DWidmer JGiustiniano D(2023)SenCom: Integrated Sensing and Communication with Practical WiFiProceedings of the 29th Annual International Conference on Mobile Computing and Networking10.1145/3570361.3613274(1-16)Online publication date: 2-Oct-2023
https://dl.acm.org/doi/10.1145/3570361.3613274
Zaravashan SArefizadeh STorabi S(2023)Efficient Sub-Carrier Relationship Extraction for Human Activity Recognition via EEGNet in Wireless Sensing2023 13th International Conference on Computer and Knowledge Engineering (ICCKE)10.1109/ICCKE60553.2023.10326282(259-264)Online publication date: 1-Nov-2023
https://doi.org/10.1109/ICCKE60553.2023.10326282
Han SCha HYoon MJang B(2022)Identification of the Number of Indoor People Using the Change in Channel Characteristics of HRP UWB CommunicationThe Journal of Korean Institute of Electromagnetic Engineering and Science10.5515/KJKIEES.2022.33.11.85533:11(855-863)Online publication date: 30-Nov-2022
https://doi.org/10.5515/KJKIEES.2022.33.11.855
Falzetti ACianca ERossi T(2022)Spatial and Material Optimization for Novel Sustainable and Radio-Frequency-Friendly Micro-HomesSustainability10.3390/su1410594314:10(5943)Online publication date: 13-May-2022
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Song JQian CLiu XLiang HLu CYu W(2022)Performance Assessment of Deep Neural Network on Activity Recognition in WiFi Sensing2022 IEEE International Conferences on Internet of Things (iThings) and IEEE Green Computing & Communications (GreenCom) and IEEE Cyber, Physical & Social Computing (CPSCom) and IEEE Smart Data (SmartData) and IEEE Congress on Cybermatics (Cybermatics)10.1109/iThings-GreenCom-CPSCom-SmartData-Cybermatics55523.2022.00103(510-517)Online publication date: Aug-2022
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De Sanctis MDomenico SFioravanti DAbellan ERossi TCianca E(2022)RF-Based Device-Free Counting of People Waiting in Line: A Modular ApproachIEEE Transactions on Vehicular Technology10.1109/TVT.2022.318254871:10(10471-10484)Online publication date: Oct-2022
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Gacem MZakaria AIsmail MTariq UYehia S(2022)Measurement of Construction Materials Properties Using Wi-Fi and Convolutional Neural NetworksIEEE Access10.1109/ACCESS.2022.322624810(126100-126116)Online publication date: 2022
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