Name
Abstract | ||
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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.
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Year | DOI | Venue |
|---|---|---|
2019 | 10.1145/3351239 | Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies |
Keywords | DocType | Volume |
Acoustic, authentication, biometric, ear canal, echo, wearable devices | Journal | 3 |
Issue | Citations | PageRank |
3 | 8 | 0.49 |
References | Authors | |
0 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| yang gao | 1 | 173 | 29.14 |
| Wei Wang | 2 | 51 | 4.27 |
| Vir V. Phoha | 3 | 628 | 55.19 |
| SUN Wei | 4 | 247 | 26.63 |
| Zhanpeng Jin | 5 | 52 | 5.26 |