Demo of Headbanger: Authenticating smart wearable devices using unique head movement patterns

Sugang Li, Ashwin Ashok, Yanyong Zhang, Chenren Xu, Janne Lindqvist, Macro Gruteser

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

14 Citations (Scopus)

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 languageEnglish
Title of host publication2016 IEEE International Conference on Pervasive Computing and Communication Workshops, PerCom Workshops 2016
PublisherIEEE
ISBN (Electronic)9781509019410
DOIs
Publication statusPublished - 19 Apr 2016
MoE publication typeA4 Article in a conference publication
EventIEEE International Conference on Pervasive Computing and Communications Workshops - Sydney, Australia
Duration: 14 Mar 201618 Mar 2016
Conference number: 13

Publication series

Name2016 IEEE International Conference on Pervasive Computing and Communication Workshops, PerCom Workshops 2016

Conference

ConferenceIEEE International Conference on Pervasive Computing and Communications Workshops
Abbreviated titlePerCom Workshops
Country/TerritoryAustralia
CitySydney
Period14/03/201618/03/2016

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