Tap-based User Authentication for Smartwatches
Toan Nguyen, Nasir Memon

TL;DR
TapMeIn is an eyes-free, two-factor smartwatch authentication method using tap-melodies and physiological traits, achieving high accuracy, speed, and usability in various conditions.
Contribution
Introduces TapMeIn, a novel tap-based authentication system combining tap-melodies and biometric traits for smartwatches.
Findings
Achieves 98.7% accuracy with 0.98% false positive rate
Maintains performance during sitting and walking
Average authentication time of 2 seconds
Abstract
This paper presents TapMeIn, an eyes-free, two-factor authentication method for smartwatches. It allows users to tap a memorable melody (tap-password) of their choice anywhere on the touchscreen to unlock their watch. A user is verified based on the tap-password as well as her physiological and behavioral characteristics when tapping. Results from preliminary experiments with 41 participants show that TapMeIn could achieve an accuracy of 98.7% with a False Positive Rate of only 0.98%. In addition, TapMeIn retains its performance in different conditions such as sitting and walking. In terms of speed, TapMeIn has an average authentication time of 2 seconds. A user study with the System Usability Scale (SUS) tool suggests that TapMeIn has a high usability score.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
