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Advancing wearable gait-based identity recognition: multi-head attention and feature analysis for unconstrained environments and multiple sensor locations

Crossref DOI link: https://doi.org/10.1007/s00521-025-11832-z

Published Online: 2026-02-14

Published Print: 2026-03

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

He, Tong

Yi, Sijia

Zeng, Hui

Mei, Zijie

Ivanov, Kamen

Yang, Guocheng

Yang, Lin

Tang, Jie

Mei, Zhanyong
Funding

Funding for this research was provided by:

Chengdu Science and Technology Bureau (2021-YF05-02175-SN)

Department of Science and Technology of Sichuan Province (2023YFG0271)

Bulgarian National Science Fund (КП-06-Н77/13)
License Information

Text and Data Mining valid from 2026-02-14

Version of Record valid from 2026-02-14
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Article History

Received: 14 September 2023

Accepted: 18 September 2025

First Online: 14 February 2026

Declarations

:

: The authors declare no conflict of interest.

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