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PrivGait: An Energy-Harvesting-Based Privacy-Preserving User-Identification System by Gait Analysis

Lookup NU author(s): Dr Bo WeiORCiD



This is the authors' accepted manuscript of an article that has been published in its final definitive form by Institute of Electrical and Electronics Engineers Inc., 2022.

For re-use rights please refer to the publisher's terms and conditions.


© 2014 IEEE.Smart space has emerged as a new paradigm that combines sensing, communication, and artificial intelligence technologies to offer various customized services. A fundamental requirement of these services is person identification. Although a variety of person-identification approaches has been proposed, they suffer from several limitations in practical applications, such as low energy efficiency, accuracy degradation, and privacy issue. This article proposes an energy-harvesting-based privacy-preserving gait recognition scheme for smart space, which is named PrivGait. In PrivGait, we extract discriminative features from 1-D gait signal and design an attention-based long short-term memory (LSTM) network to classify different people. Moreover, we leverage a novel Bloom filter-based privacy-preserving technique to address the privacy leakage problem. To demonstrate the feasibility of PrivGait, we design a proof-of-concept prototype using off-the-shelf energy-harvesting hardware. Extensive evaluation results show that the proposed scheme outperforms state of the art by 6%-10% and incurs low system cost while preserving user's privacy.

Publication metadata

Author(s): Xu W, Xue W, Lin Q, Lan G, Feng X, Wei B, Luo C, Li W, Zomaya AY

Publication type: Article

Publication status: Published

Journal: IEEE Internet of Things Journal

Year: 2022

Volume: 9

Issue: 22

Pages: 22048-22060

Print publication date: 15/11/2022

Online publication date: 15/06/2021

Acceptance date: 07/06/2021

Date deposited: 29/06/2023

ISSN (electronic): 2327-4662

Publisher: Institute of Electrical and Electronics Engineers Inc.


DOI: 10.1109/JIOT.2021.3089618


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