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C-Auth: Exploring the Feasibility of Using Egocentric View of Face Contour for User Authentication on Glasses

Published on Proceedings of the 2023 ACM International Symposium on Wearable Computers (ISWC '23)

Hyunchul Lim, Guilin Hu, Richard Hu, Hao Chen, Ryan Mao, Ruidong Zhang, Cheng Zhang

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C-Auth is a novel authentication method for smart glasses that explores the feasibility of authenticating users using the facial contour lines from the nose and cheeks captured by a down-facing camera in the middle of the glasses. To evaluate the system, we conducted a user study with 20 participants in three sessions on different days. Our system correctly authenticates the target participant versus the other 19 participants (attackers) with a true positive rate of 98.0% (SD: 2.96%) and a false positive rate of 4.97% (2.88 %) across all three days. We conclude by discussing current limitations, challenges, and potential future applications for C-Auth.

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107 Hoy Rd, Ithaca, NY 14853 

Cornell University

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