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 contribution

6 Scopus citations

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 (US)
Title of host publication2016 IEEE International Conference on Pervasive Computing and Communication Workshops, PerCom Workshops 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781509019410
DOIs
StatePublished - Apr 19 2016
Event13th IEEE International Conference on Pervasive Computing and Communication Workshops, PerCom Workshops 2016 - Sydney, Australia
Duration: Mar 14 2016Mar 18 2016

Publication series

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

Other

Other13th IEEE International Conference on Pervasive Computing and Communication Workshops, PerCom Workshops 2016
CountryAustralia
CitySydney
Period3/14/163/18/16

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All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Computer Networks and Communications
  • Human-Computer Interaction

Cite this

Li, S., Ashok, A., Zhang, Y., Xu, C., Lindqvist, J., & Gruteser, M. (2016). Demo of Headbanger: Authenticating smart wearable devices using unique head movement patterns. In 2016 IEEE International Conference on Pervasive Computing and Communication Workshops, PerCom Workshops 2016 [7457076] (2016 IEEE International Conference on Pervasive Computing and Communication Workshops, PerCom Workshops 2016). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/PERCOMW.2016.7457076