@inproceedings{d5ef2f4eacbb408a95d92dbf4904fa0c,
title = "Demo: Garda - Robust gesture-based authentication for mobile systems",
abstract = "This is a demo for a full paper in CHI'17 proceedings http://dx.doi.org/10.1145/3025453.3025879 [6]. We designed and implemented a secure, robust and usable multi-expert recognizer, Garda, for gesture passwords. This demo demonstrates two real scenarios of using Garda as a gesture recognizer in mobile devices: under normal use and under a shoulder-surfing attack. As a supplement to the demo, we describe technical details of Garda in this report. Our demo shows the usability of our Garda gesture authentication method on mobile devices in daily life.",
keywords = "Authentication, Gesture, Mobile device, Security",
author = "Can Liu and Clark, {Gradeigh D.} and Janne Lindqvist",
note = "Publisher Copyright: Copyright {\textcopyright} 2017 ACM.; 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing and ACM International Symposium on Wearable Computers, UbiComp/ISWC 2017 ; Conference date: 11-09-2017 Through 15-09-2017",
year = "2017",
month = sep,
day = "11",
doi = "10.1145/3123024.3123171",
language = "English (US)",
series = "UbiComp/ISWC 2017 - Adjunct Proceedings of the 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2017 ACM International Symposium on Wearable Computers",
publisher = "Association for Computing Machinery, Inc",
pages = "253--256",
booktitle = "UbiComp/ISWC 2017 - Adjunct Proceedings of the 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2017 ACM International Symposium on Wearable Computers",
}