User evaluation of lightweight user authentication with a single tri-axis accelerometer. Liu, J., Zhong, L., Wickramasuriya, J., & Vasudevan, V. In Proceedings of International Conference on Human-Computer Interaction with Mobile Devices and Services (MobileHCI), 2009. ACM. ![User evaluation of lightweight user authentication with a single tri-axis accelerometer [link]](https://bibbase.org/img/filetypes/link.svg "link")
Website abstract bibtex 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.
@inProceedings{
title = {User evaluation of lightweight user authentication with a single tri-axis accelerometer},
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abstract = {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.},
bibtype = {inProceedings},
author = {Liu, Jiayang and Zhong, Lin and Wickramasuriya, Jehan and Vasudevan, Venu},
booktitle = {Proceedings of International Conference on Human-Computer Interaction with Mobile Devices and Services (MobileHCI)}
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