2009 · 77 citations · 13 references
ComputingComputer EngineeringComputer ScienceAuthenticationComputer SecurityHuman-computer InteractionBehavioral AuthenticationBiometric AuthenticationDigital AuthenticationMobile Human-computer InteractionActivity-based AuthenticationAuthentication UsabilityEqual Error RateGesture BiometricsMobile AuthenticationMultimodal AuthenticationUser AuthenticationUser Study Evaluation
The study builds on uWave, a leading system for recognizing user‑created free‑space gestures. The study evaluates the feasibility and usability of lightweight user authentication using a single tri‑axis accelerometer. The studies compare non‑critical and critical authentication scenarios, assessing gesture‑based access to privacy‑insensitive versus privacy‑sensitive data. Non‑critical authentication achieved 98% accuracy with usability similar to text ID, while critical authentication reached a 3% equal error rate that rises to 10% when gestures are observed, underscoring the need for visual concealment.
We report a series of user studies that evaluate the feasibility and usability of light-weight user authentication with a single tri-axis accelerometer. We base our investigation on uWave, a state-of-the-art recognition system for user-created free-space manipulation, or gestures. Our user studies address two types of user authentication: non-critical authentication (or identification) for a user to retrieve privacy-insensitive data; and critical authentication for protecting privacy-sensitive data. For non-critical authentication, our evaluation shows that uWave achieves high recognition accuracy (98%) and its usability is comparable with text ID-based authentication. Our results also highlight the importance of constraints for users to select their gestures. For critical authentication, the evaluation shows uWave achieves state-of-the-art resilience to attacks with 3% false positives and 3% false negatives, or 3% equal error rate. We also show that the equal error rate increases to 10% if the attackers see the users performing their gestures. This shows the limitation of gesture-based authentication and highlights the need for visual concealment.
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