Biometric-rich gestures: A novel approach to authentication on multi-touch devices

Napa Sae-Bae, Kowsar Ahmed, Katherine Isbister, Nasir Memon

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this paper, we present a novel multi-touch gesture-based authentication technique. We take advantage of the multitouch surface to combine biometric techniques with gestural input. We defined a comprehensive set of five-finger touch gestures, based upon classifying movement characteristics of the center of the palm and fingertips, and tested them in a user study combining biometric data collection with usability questions. Using pattern recognition techniques, we built a classifier to recognize unique biometric gesture characteristics of an individual. We achieved a 90% accuracy rate with single gestures, and saw significant improvement when multiple gestures were performed in sequence. We found user ratings of a gestures desirable characteristics (ease, pleasure, excitement) correlated with a gestures actual biometric recognition ratethat is to say, user ratings aligned well with gestural security, in contrast to typical text-based passwords. Based on these results, we conclude that multi-touch gestures show great promise as an authentication mechanism.

Original languageEnglish (US)
Title of host publicationConference Proceedings - The 30th ACM Conference on Human Factors in Computing Systems, CHI 2012
Pages977-986
Number of pages10
DOIs
StatePublished - 2012
Event30th ACM Conference on Human Factors in Computing Systems, CHI 2012 - Austin, TX, United States
Duration: May 5 2012May 10 2012

Publication series

NameConference on Human Factors in Computing Systems - Proceedings

Other

Other30th ACM Conference on Human Factors in Computing Systems, CHI 2012
CountryUnited States
CityAustin, TX
Period5/5/125/10/12

Keywords

  • Authentication
  • Behavior biometric
  • Multi-touch gestures
  • Multi-touch interfaces
  • Password

ASJC Scopus subject areas

  • Software
  • Human-Computer Interaction
  • Computer Graphics and Computer-Aided Design

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