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HeadSonic: Usable Bone Conduction Earphone Authentication via Head-conducted Sounds

  • Zhixiang He
  • , Jing Chen*
  • , Kun He
  • , Yangyang Gu
  • , Qiyi Deng
  • , Zijian Zhang
  • , Ruiying Du
  • , Qingchuan Zhao
  • , Cong Wu
  • *Corresponding author for this work

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

Abstract

Earables (ear wearables) are rapidly emerging as a new platform encompassing a diverse of personal applications, prompting the development of authentication schemes to protect user privacy. Existing earable authentication methods are all specifically designed for air-conduction earphones, which are not suited for bone conduction earphones (BCEs) that rely on bone conduction mechanisms. In this paper, we propose HeadSonic, a usable BCE authentication system based on the unique head-conducted sounds, which can be acquired when the user wears the BCE device. Specifically, the system emits a millisecond-level sound to initiate the authentication session. The signal captured by the BCE microphone is propagated through the user’s head, which is unique in density, geometry, and bone-tissue ratio. It operates implicitly, while maintaining robustness across different behaviors. Extensive experiments involving 60 subjects demonstrate that HeadSonic achieves a commendable balanced accuracy of 96.59%, proving its efficacy and resilience against replay and synthesis attacks. Our dataset and source codes are available at https://anonymous.4open.science/r/HeadSonic1CE4. © 2025 IEEE. All rights reserved.
Original languageEnglish
Pages (from-to)7914-7928
Number of pages15
JournalIEEE Transactions on Mobile Computing
Volume24
Issue number3
Online published13 Mar 2025
DOIs
Publication statusPublished - Sept 2025

Funding

This research was supported in part by the State Key Lab of Intelligent Transportation System under Project No. 2024-B004, the National Natural Science Foundation of China under grants No. 62172303, 62472323, the Key R&D Program of Hubei Province under grant No. 2024BAB018, the Wuhan Scientific and Technical Achievements Project under Grand No. 2024030803010172, and the Key R&D Program of Shandong Province under grant No. 2022CXPT055.

Research Keywords

  • acoustic sensing
  • biometrics
  • Wearable authentication

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