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

  • Authors:
  • Napa Sae-Bae;Kowsar Ahmed;Katherine Isbister;Nasir Memon

  • Affiliations:
  • Polytechnic Institute of NYU, Brooklyn, NY, United States;Polytechnic Institute of NYU, Brooklyn, New York, United States;Polytechnic Institute of NYU, Brooklyn, New York, United States;Polytechnic Institute of NYU, Brooklyn, New York, United States

  • Venue:
  • Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
  • Year:
  • 2012

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Abstract

In this paper, we present a novel multi-touch gesture-based authentication technique. We take advantage of the multi-touch 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 rate - that 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.