Haibo Lei
ABSTRACT
User authentication and identification on smart devices has great significance in keeping data privacy and recommending personalized services. Existing few research works propose active sensing systems that emit and receive inaudible acoustic signals to authenticate users. But they share shortcomings of intrusiveness to users, high power consumption, and purely focusing on authentication. Instead, in this paper, we propose a passive sensing system called EarID with low-cost customized earpieces which attains user authentication and identification simultaneously. It makes use of a embedded microphone to sense body sounds spread out through ear canals and extract 'fingerprints' as a novel biometric feature. With self-designed earpieces, we design a deep learning-based real-time data processing pipeline. Extensive experiments under different real-world settings show that EarID can achieve a rather low false acceptance rate less than 5% for user authentication and a high F1 score of 96% for user identification.
- Jagmohan Chauhan, Yining Hu, Suranga Seneviratne, Archan Misra, Aruna Seneviratne, and Youngki Lee. 2017. BreathPrint: Breathing acoustics-based user authentication. In Proceedings of the ACM Mobisys. 278--291.Google Scholar
Digital Library
- Yang Gao, Wei Wang, Vir V Phoha, Wei Sun, and Zhanpeng Jin. 2019. EarEcho: Using Ear Canal Echo for Wearable Authentication. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 3, 3 (2019), 1--24.Google ScholarDigital Library
- Lei Wang, Kang Huang, Ke Sun, Wei Wang, Chen Tian, Lei Xie, and Qing Gu. 2018. Unlock with your heart: Heartbeat-based authentication on commercial mobile phones. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 2, 3 (2018), 1--22.Google ScholarDigital Library
- Yongpan Zou, Meng Zhao, Zimu Zhou, Jiawei Lin, Mo Li, and Kaishun Wu. 2018. BiLock: User authentication via dental occlusion biometrics. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 2, 3 (2018), 1--20.Google ScholarDigital Library
Index Terms
Smart earpieces that know who you are quietly: poster abstract
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