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- Yang Gao
- University at Buffalo, State University of New York, Department of Computer Science and Engineering, Buffalo, NY, USA
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- Wei Wang
- University at Buffalo, State University of New York, Department of Computer Science and Engineering, Buffalo, NY, USA
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- Vir V. Phoha
- Syracuse University, Department of Electrical Engineering and Computer Science, Syracuse, NY, USA
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- Wei Sun
- University at Buffalo, State University of New York, Department of Communicative Disorders and Sciences, Buffalo, NY, USA
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- Zhanpeng Jin
- University at Buffalo, State University of New York, Department of Computer Science and Engineering, Buffalo, NY, USA
書誌事項
- タイトル別名
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- Using Ear Canal Echo for Wearable Authentication
- 公開日
- 2019-09-09
- 権利情報
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- https://www.acm.org/publications/policies/copyright_policy#Background
- DOI
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- 10.1145/3351239
- 公開者
- Association for Computing Machinery (ACM)
説明
<jats:p>Smart wearable devices have recently become one of the major technological trends and been widely adopted by the general public. Wireless earphones, in particular, have seen a skyrocketing growth due to its great usability and convenience. With the goal of seeking a more unobtrusive wearable authentication method that the users can easily use and conveniently access, in this study we present EarEcho as a novel, affordable, user-friendly biometric authentication solution. EarEcho takes advantages of the unique physical and geometrical characteristics of human ear canal and assesses the content-free acoustic features of in-ear sound waves for user authentication in a wearable and mobile manner. We implemented the proposed EarEcho on a proof-of-concept prototype and tested it among 20 subjects under diverse application scenarios. We can achieve a recall of 94.19% and precision of 95.16% for one-time authentication, while a recall of 97.55% and precision of 97.57% for continuous authentication. EarEcho has demonstrated its stability over time and robustness to cope with the uncertainties on the varying background noises, body motions, and sound pressure levels.</jats:p>
収録刊行物
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- Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies
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Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 3 (3), 1-24, 2019-09-09
Association for Computing Machinery (ACM)
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詳細情報 詳細情報について
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- CRID
- 1363670320150201856
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- DOI
- 10.1145/3351239
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- ISSN
- 24749567
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- データソース種別
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- Crossref

