research-article

WFID: Passive Device-free Human Identification Using WiFi Signal

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Zhongwen GuoAuthors Info & Claims

MOBIQUITOUS 2016: Proceedings of the 13th International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services

Pages 47 - 56

https://doi.org/10.1145/2994374.2994377

Published: 28 November 2016 Publication History

Abstract

We present WFID, a passive device-free indoor human identification system with one pair of WiFi signal transmitter and receiver. WFID design is motivated by the observation that PHY layer Channel State Information (CSI) is capable of capturing the frequency diversity of wideband channel, such that the human body curve may be uniquely identified by learning the feature pattern of CSI. Different from many CSI-based techniques focusing on phase shift, we propose a novel feature of subcarrier-amplitude frequency (SAF). Based on this feature, WFID realizes human identification through a linear-kernel SVM. We have implemented a prototype of WFID with a commercial AP and a computer equipped with one Intel 5300 NIC. WFID is evaluated in two typical indoor scenarios. The results confirm that WFID achieves high classification accuracy which is permanent over several days under two typical indoor scenarios, with low computation cost. This reveals the potential for WFID to realize real-time indoor human identification.

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Cited By

Wei ZChen WNing SLin WLi NLian BSun XZhao J(2025)A Survey on WiFi-based Human Identification: Scenarios, Challenges, and Current SolutionsACM Transactions on Sensor Networks10.1145/370832321:1(1-32)Online publication date: 27-Jan-2025
https://dl.acm.org/doi/10.1145/3708323
Yan DYang PShang FHan FYan YLi XPapavassiliou SSchmid S(2024)freeGait: Liberalizing Wireless-based Gait Recognition to Mitigate Non-gait Human BehaviorsProceedings of the Twenty-fifth International Symposium on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile Computing10.1145/3641512.3686362(241-250)Online publication date: 14-Oct-2024
https://dl.acm.org/doi/10.1145/3641512.3686362
Gu YChen JHe KWu CZhao ZDu R(2024)WiFiLeaks: Exposing Stationary Human Presence Through a Wall With Commodity Mobile DevicesIEEE Transactions on Mobile Computing10.1109/TMC.2023.332834923:6(6997-7011)Online publication date: Jun-2024
https://doi.org/10.1109/TMC.2023.3328349
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WFID: Passive Device-free Human Identification Using WiFi Signal
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MOBIQUITOUS 2016: Proceedings of the 13th International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services

November 2016

307 pages

ISBN:9781450347501

DOI:10.1145/2994374

General Chairs:
Takahiro Hara
Osaka University, Japan
,
Hiroshi Shigeno
Keio University, Japan

Copyright © 2016 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 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]

In-Cooperation

EAI: The European Alliance for Innovation
SIGAPP: ACM Special Interest Group on Applied Computing
SIGBED: ACM Special Interest Group on Embedded Systems
KDDI R&D Laboratories Inc.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 28 November 2016

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Funding Sources

National Natural Science Foundation of China

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MOBIQUITOUS 2016

MOBIQUITOUS 2016: Computing, Networking and Services

November 28 - December 1, 2016

Hiroshima, Japan

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MOBIQUITOUS 2016 Paper Acceptance Rate 26 of 87 submissions, 30%;

Overall Acceptance Rate 26 of 87 submissions, 30%

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Cited By

Wei ZChen WNing SLin WLi NLian BSun XZhao J(2025)A Survey on WiFi-based Human Identification: Scenarios, Challenges, and Current SolutionsACM Transactions on Sensor Networks10.1145/370832321:1(1-32)Online publication date: 27-Jan-2025
https://dl.acm.org/doi/10.1145/3708323
Yan DYang PShang FHan FYan YLi XPapavassiliou SSchmid S(2024)freeGait: Liberalizing Wireless-based Gait Recognition to Mitigate Non-gait Human BehaviorsProceedings of the Twenty-fifth International Symposium on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile Computing10.1145/3641512.3686362(241-250)Online publication date: 14-Oct-2024
https://dl.acm.org/doi/10.1145/3641512.3686362
Gu YChen JHe KWu CZhao ZDu R(2024)WiFiLeaks: Exposing Stationary Human Presence Through a Wall With Commodity Mobile DevicesIEEE Transactions on Mobile Computing10.1109/TMC.2023.332834923:6(6997-7011)Online publication date: Jun-2024
https://doi.org/10.1109/TMC.2023.3328349
Liang YWu WLi HChang XChen XPeng JXu P(2024)DCS-Gait: A Class-Level Domain Adaptation Approach for Cross-Scene and Cross-State Gait Recognition Using Wi-Fi CSIIEEE Transactions on Information Forensics and Security10.1109/TIFS.2024.335682719(2997-3007)Online publication date: 2024
https://doi.org/10.1109/TIFS.2024.3356827
Zhang YWang GLiu HGong WGao F(2024)WiFi-Based Indoor Human Activity Sensing: A Selective Sensing Strategy and a Multilevel Feature Fusion ApproachIEEE Internet of Things Journal10.1109/JIOT.2024.339770811:18(29335-29347)Online publication date: 15-Sep-2024
https://doi.org/10.1109/JIOT.2024.3397708
He QYang EFang S(2024)A Survey on Human Profile Information Inference via Wireless SignalsIEEE Communications Surveys & Tutorials10.1109/COMST.2024.337339726:4(2577-2610)Online publication date: Dec-2025
https://doi.org/10.1109/COMST.2024.3373397
Ikuo NKato SMatsukawa TMurakami TFujihashi TWatanabe TSaruwatari S(2024)CSI2PC: 3D Point Cloud Reconstruction Using CSI2024 IEEE 21st Consumer Communications & Networking Conference (CCNC)10.1109/CCNC51664.2024.10454882(254-259)Online publication date: 6-Jan-2024
https://doi.org/10.1109/CCNC51664.2024.10454882
Gaiba FBedogni LGori GMelis APrandini M(2024)Wi-Fi Sensing for Human Identification Through ESP32 Devices: An Experimental Study2024 IEEE 21st Consumer Communications & Networking Conference (CCNC)10.1109/CCNC51664.2024.10454655(206-209)Online publication date: 6-Jan-2024
https://doi.org/10.1109/CCNC51664.2024.10454655
Alsaify BAlmazari MAlazrai RAl-Jarrah OAl Zibideh W(2024)Wi-Fi Signals for Passive Human Identification: A Study of Three ActivitiesIEEE Access10.1109/ACCESS.2024.344323112(113087-113098)Online publication date: 2024
https://doi.org/10.1109/ACCESS.2024.3443231
Wang LShi ZZhao YJing N(2024)AirLock: Unlock in-air via hand rotation recognitionExpert Systems with Applications10.1016/j.eswa.2024.124330(124330)Online publication date: May-2024
https://doi.org/10.1016/j.eswa.2024.124330
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