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.
['Sugang Li', 'Ashwin Ashok', 'Yanyong Zhang', 'Chenren Xu', 'Janne Lindqvist', 'Macro Gruteser']
Demo of Headbanger: Authenticating smart wearable devices using unique head movement patterns