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

10 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
CountryAustralia
CitySydney
Period14/03/201618/03/2016

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