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

Weitao Xu, Wanli Xue, Qi Lin, Guohao Lan, Xingyu Feng, Bo Wei, Chengwen Luo, Wei Li, Albert Y. Zomaya

Research output: Contribution to journalArticleScientificpeer-review

2 Citations (Scopus)
29 Downloads (Pure)


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.

Original languageEnglish
Pages (from-to)22048-22060
Number of pages13
JournalIEEE Internet of Things Journal
Issue number22
Publication statusE-pub ahead of print - 2022

Bibliographical note

Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project
Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.


  • Energy harvesting
  • Feature extraction
  • Gait recognition
  • IoT security
  • Privacy
  • privacy preserving.
  • Sensors
  • smart space
  • Smart spaces
  • Wearable computers


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