HCR-Auth: Reliable Bone Conduction Earphone Authentication with Head Contact Response

Earables, or ear wearables, are increasingly being used for a variety of personal applications, prompting the development of authentication schemes to safeguard user privacy. Existing authentications are designed for traditional in-ear earphones, relying on a closed ear canal environment, which is not suited for bone conduction earphones that feature an open-ear design. In this paper, we propose HCR-Auth, a new authentication approach for bone conduction earphones based on head biometrics. It employs a modulated chirp signal, emitted by the earphone speaker, to actively sense the user's head structure, and captures the response through the earphone's accelerometer. It operates implicitly, eliminating additional efforts from the user to perform authentication. Through extensive experiments involving 60 subjects, we determine that HCR-Auth achieves a commendable balanced accuracy of 96.55% using only 10 registration samples, proving its efficacy and resilience against potential threats. Our dataset and source codes are available at https://anonymous.4open.science/r/HCR-Auth-D43B/.

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Publication Details

Journal
Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies
Published
2024-11-21
DOI
https://doi.org/10.1145/3699780
Citations
4
Primary Topic
Gait Recognition and Analysis
Type
article
Field-Weighted Citation Impact
0.74

Funders

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article

HCR-Auth: Reliable Bone Conduction Earphone Authentication with Head Contact Response

Kun He, Yangyang Gu, Ju Jia, Jing Chen et al.
4 citations
Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies
Gait Recognition and Analysis
0.74
article

HCR-Auth: Reliable Bone Conduction Earphone Authentication with Head Contact Response

Kun He, Yangyang Gu, Ju Jia, Jing Chen, Ruiying Du, Xiping Sun, Cong Wu, Zhixiang He
article en
4 citations

Abstract

Earables, or ear wearables, are increasingly being used for a variety of personal applications, prompting the development of authentication schemes to safeguard user privacy. Existing authentications are designed for traditional in-ear earphones, relying on a closed ear canal environment, which is not suited for bone conduction earphones that feature an open-ear design. In this paper, we propose HCR-Auth, a new authentication approach for bone conduction earphones based on head biometrics. It employs a modulated chirp signal, emitted by the earphone speaker, to actively sense the user's head structure, and captures the response through the earphone's accelerometer. It operates implicitly, eliminating additional efforts from the user to perform authentication. Through extensive experiments involving 60 subjects, we determine that HCR-Auth achieves a commendable balanced accuracy of 96.55% using only 10 registration samples, proving its efficacy and resilience against potential threats. Our dataset and source codes are available at https://anonymous.4open.science/r/HCR-Auth-D43B/.

Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous TechnologiesVol. 8(4)
Nanyang Technological University (SG), Wuhan University (CN), Southeast University (CN)
National Key Research and Development Program of China
Peace, Justice and strong institutions
Openalex Percentile: Top 31%
Gait Recognition and Analysis
0.74
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