Abstract
We demonstrate a system for direct authentication of users to their head-worn wearable device through a novel approach that identifies users based on motion signatures extracted from their head-movements. This approach is in contrast to existing indirect authentication solutions via smartphone or using touch-pad swipe patterns. The system, dubbed Headbanger, is a software authentication solution that leverages unique motion patterns created when users shake their head in response to music played on the head-worn device, and sensed through integrated accelerometers. In this demo, we demonstrate Headbanger on Google Glass and show the effectiveness of the system in two authentication modes, that include (i) a trained user reliably authenticated to the owned Glass device, and (ii) an attacker being prevented from login when attempting to login to the Glass device by imitating the owner's head-movements.
Original language | English |
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Title of host publication | 2016 IEEE International Conference on Pervasive Computing and Communication Workshops, PerCom Workshops 2016 |
Publisher | IEEE |
ISBN (Electronic) | 9781509019410 |
DOIs | |
Publication status | Published - 19 Apr 2016 |
MoE publication type | A4 Article in a conference publication |
Event | IEEE International Conference on Pervasive Computing and Communications Workshops - Sydney, Australia Duration: 14 Mar 2016 → 18 Mar 2016 Conference number: 13 |
Publication series
Name | 2016 IEEE International Conference on Pervasive Computing and Communication Workshops, PerCom Workshops 2016 |
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Conference
Conference | IEEE International Conference on Pervasive Computing and Communications Workshops |
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Abbreviated title | PerCom Workshops |
Country/Territory | Australia |
City | Sydney |
Period | 14/03/2016 → 18/03/2016 |