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. 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},
type = {inProceedings},
year = {2009},
keywords = {accelerometer,amulet,authentication,evaluation,gesture,study,user,user-study},
websites = {http://doi.acm.org/10.1145/1613858.1613878},
publisher = {ACM},
id = {9f108abb-7458-38ee-8bdb-8aa3f40539c2},
created = {2018-07-12T21:32:12.724Z},
file_attached = {false},
profile_id = {f954d000-ce94-3da6-bd26-b983145a920f},
group_id = {b0b145a3-980e-3ad7-a16f-c93918c606ed},
last_modified = {2018-07-12T21:32:12.724Z},
read = {false},
starred = {false},
authored = {false},
confirmed = {true},
hidden = {false},
citation_key = {liu:gestures09},
source_type = {inproceedings},
private_publication = {false},
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)}
}
Downloads: 0
{"_id":"7GCnWLRoRy9hP67mS","bibbaseid":"liu-zhong-wickramasuriya-vasudevan-userevaluationoflightweightuserauthenticationwithasingletriaxisaccelerometer-2009","downloads":0,"creationDate":"2019-02-15T15:15:01.001Z","title":"User evaluation of lightweight user authentication with a single tri-axis accelerometer","author_short":["Liu, J.","Zhong, L.","Wickramasuriya, J.","Vasudevan, V."],"year":2009,"bibtype":"inProceedings","biburl":null,"bibdata":{"title":"User evaluation of lightweight user authentication with a single tri-axis accelerometer","type":"inProceedings","year":"2009","keywords":"accelerometer,amulet,authentication,evaluation,gesture,study,user,user-study","websites":"http://doi.acm.org/10.1145/1613858.1613878","publisher":"ACM","id":"9f108abb-7458-38ee-8bdb-8aa3f40539c2","created":"2018-07-12T21:32:12.724Z","file_attached":false,"profile_id":"f954d000-ce94-3da6-bd26-b983145a920f","group_id":"b0b145a3-980e-3ad7-a16f-c93918c606ed","last_modified":"2018-07-12T21:32:12.724Z","read":false,"starred":false,"authored":false,"confirmed":"true","hidden":false,"citation_key":"liu:gestures09","source_type":"inproceedings","private_publication":false,"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)","bibtex":"@inProceedings{\n title = {User evaluation of lightweight user authentication with a single tri-axis accelerometer},\n type = {inProceedings},\n year = {2009},\n keywords = {accelerometer,amulet,authentication,evaluation,gesture,study,user,user-study},\n websites = {http://doi.acm.org/10.1145/1613858.1613878},\n publisher = {ACM},\n id = {9f108abb-7458-38ee-8bdb-8aa3f40539c2},\n created = {2018-07-12T21:32:12.724Z},\n file_attached = {false},\n profile_id = {f954d000-ce94-3da6-bd26-b983145a920f},\n group_id = {b0b145a3-980e-3ad7-a16f-c93918c606ed},\n last_modified = {2018-07-12T21:32:12.724Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n citation_key = {liu:gestures09},\n source_type = {inproceedings},\n private_publication = {false},\n 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.},\n bibtype = {inProceedings},\n author = {Liu, Jiayang and Zhong, Lin and Wickramasuriya, Jehan and Vasudevan, Venu},\n booktitle = {Proceedings of International Conference on Human-Computer Interaction with Mobile Devices and Services (MobileHCI)}\n}","author_short":["Liu, J.","Zhong, L.","Wickramasuriya, J.","Vasudevan, V."],"urls":{"Website":"http://doi.acm.org/10.1145/1613858.1613878"},"bibbaseid":"liu-zhong-wickramasuriya-vasudevan-userevaluationoflightweightuserauthenticationwithasingletriaxisaccelerometer-2009","role":"author","keyword":["accelerometer","amulet","authentication","evaluation","gesture","study","user","user-study"],"downloads":0},"search_terms":["user","evaluation","lightweight","user","authentication","single","tri","axis","accelerometer","liu","zhong","wickramasuriya","vasudevan"],"keywords":["accelerometer","amulet","authentication","evaluation","gesture","study","user","user-study"],"authorIDs":[]}