Publication Type
Conference Proceeding Article
Version
publishedVersion
Publication Date
2-2023
Abstract
The widespread adoption of wireless earbuds has advanced the developments in earable-based sensing in various domains like entertainment, human-computer interaction, and health monitoring. Recently, researchers have shown an increased interest in user authentication using earables. Despite the successes witnessed in acoustic probing and speech based authentication systems, this paper proposed a lightweight and non-invasive ambient sound based user authentication scheme. It employs the difference between the in-ear and out-ear sounds to estimate the individual-specific occluded ear canal transfer function (OECTF). Specifically, the {out-ear, in-ear} scaling factors at different frequency bands are captured via linear regression and treated as the OECTF for user authentication. The proposed system is validated using 12 subjects under six different noisy environments and achieves a Balanced Error Rate (BER) of 4.84%. The particularly lightweight system can be easily deployed in earbuds and paves the pathway for more personalized services.
Discipline
Information Security | Software Engineering
Research Areas
Software and Cyber-Physical Systems
Publication
HotMobile '23: Proceedings of the 24th International Workshop on Mobile Computing Systems and Applications, Newport Beach, February 22-23
First Page
36
Last Page
41
ISBN
9798400700170
Identifier
10.1145/3572864.3580332
Publisher
ACM
City or Country
New York
Citation
HU, Changshuo; MA, Xiao; MA, Dong; and DANG, Ting.
Lightweight and non-invasive user authentication on earables. (2023). HotMobile '23: Proceedings of the 24th International Workshop on Mobile Computing Systems and Applications, Newport Beach, February 22-23. 36-41.
Available at: https://ink.library.smu.edu.sg/sis_research/7791
Copyright Owner and License
Authors
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
https://doi.org/10.1145/3572864.3580332