short-paper

Personalized Gait-based Authentication Using UWB Wearable Devices

Authors:

Alessio Bianchini,

Pietro Ciravolo,

Martina Olivelli,

Gabriele Scoma,

Simone Tavoletta,

Matteo Zagaglia,

Alessio VecchioAuthors Info & Claims

UMAP '19: Proceedings of the 27th ACM Conference on User Modeling, Adaptation and Personalization

Pages 206 - 210

https://doi.org/10.1145/3320435.3320473

Published: 07 June 2019 Publication History

Abstract

Passive and effortless authentication of the owner of wearable devices can be achieved by building a personalized model of his/her movements during gait periods. In this paper, an authentication method based on the distances between a set of body-worn devices is proposed. The method assumes that no prior information is available about users different from the legitimate one. One-class classification methods are used to distinguish the gait segments of the owner from the gait segments of possible impostors. Experimental results show that accuracy values as high as ~87-91% can be obtained. The impact of different walking styles (normal, fast, slow, and carrying a bag) is also evaluated.

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Cited By

Lang YWu CYang YJi H(2023)Radar-Based Noninvasive Person Authentication Using Micro-Doppler Signatures and Generative Adversarial NetworkIEEE Transactions on Instrumentation and Measurement10.1109/TIM.2023.330468372(1-12)Online publication date: 2023
https://doi.org/10.1109/TIM.2023.3304683
Ji HHou CYang YFioranelli FLang Y(2021)A One-Class Classification Method for Human Gait Authentication Using Micro-Doppler SignaturesIEEE Signal Processing Letters10.1109/LSP.2021.312234428(2182-2186)Online publication date: 2021
https://doi.org/10.1109/LSP.2021.3122344
Wang ZLi JJin YWang JYang FLi GNi XDing W(2021)Sensing Beyond Itself: Multi-functional Use of Ubiquitous Signals towards Wearable ApplicationsDigital Signal Processing10.1016/j.dsp.2021.103091(103091)Online publication date: May-2021
https://doi.org/10.1016/j.dsp.2021.103091
Show More Cited By

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Personalized Gait-based Authentication Using UWB Wearable Devices

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Published In

cover image ACM Conferences

UMAP '19: Proceedings of the 27th ACM Conference on User Modeling, Adaptation and Personalization

June 2019

377 pages

ISBN:9781450360210

DOI:10.1145/3320435

General Chairs:
George Angelos Papadopoulos
University of Cyprus, Cyprus
,
George Samaras
University of Cyprus, Cyprus
,
Stephan Weibelzahl
PFH Private University of Applied Sciences Göttingen, Germany
,
Program Chairs:
Dietmar Jannach
Alpen-Adria-Universität Klagenfurt, Austria
,
Olga C. Santos
aDeNu Research Group - UNED, Spain

Copyright © 2019 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].

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Publication History

Published: 07 June 2019

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Short-paper

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Università di Pisa

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UMAP '19

Sponsor:

UMAP '19: 27th Conference on User Modeling, Adaptation and Personalization

June 9 - 12, 2019

Larnaca, Cyprus

Acceptance Rates

UMAP '19 Paper Acceptance Rate 30 of 122 submissions, 25%;

Overall Acceptance Rate 162 of 633 submissions, 26%

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UMAP '25

Sponsor:
sigchi
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33rd ACM Conference on User Modeling, Adaptation and Personalization

June 16 - 19, 2025

New York City , NY , USA

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Cited By

Lang YWu CYang YJi H(2023)Radar-Based Noninvasive Person Authentication Using Micro-Doppler Signatures and Generative Adversarial NetworkIEEE Transactions on Instrumentation and Measurement10.1109/TIM.2023.330468372(1-12)Online publication date: 2023
https://doi.org/10.1109/TIM.2023.3304683
Ji HHou CYang YFioranelli FLang Y(2021)A One-Class Classification Method for Human Gait Authentication Using Micro-Doppler SignaturesIEEE Signal Processing Letters10.1109/LSP.2021.312234428(2182-2186)Online publication date: 2021
https://doi.org/10.1109/LSP.2021.3122344
Wang ZLi JJin YWang JYang FLi GNi XDing W(2021)Sensing Beyond Itself: Multi-functional Use of Ubiquitous Signals towards Wearable ApplicationsDigital Signal Processing10.1016/j.dsp.2021.103091(103091)Online publication date: May-2021
https://doi.org/10.1016/j.dsp.2021.103091
Bonsignori CCondomitti FDel Gamba MGarzelli FLossi LMione FNoferi AVecchio A(2020)Estimation of User’s Orientation via Wearable UWB2020 16th International Conference on Intelligent Environments (IE)10.1109/IE49459.2020.9154983(80-83)Online publication date: Jul-2020
https://doi.org/10.1109/IE49459.2020.9154983

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