AccLock: Unlocking Identity with Heartbeat Using In-Ear Accelerometers
The widespread use of earphones has enabled various sensing applications, including activity recognition, health monitoring, and context-aware computing. Among these, earphone-based user authentication has become a key technique by leveraging unique biometric features. However, existing earphone-based authentication systems face key limitations: they either require explicit user interaction or active speaker output, or suffer from poor accessibility and vulnerability to environmental noise, which hinders large-scale deployment. In this paper, we propose a passive authentication system, called AccLock, which leverages distinctive features extracted from in-ear BCG signals to enable secure ...
| Authors | Lei Wang, Jiangxuan Shen, Xi Zhang et al. |
|---|---|
| Primary category | cs.CR |
| Published | 12 May 2026 |
| Last updated at source | 12 May 2026 |
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