Leap motion controller for authentication via hand geometry and gestures

Alexander Chan, Tzipora Halevi, Nasir Memon

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

Abstract

The Leap Motion controller is a consumer gesture sensor aimed to augment a user’s interactive experience with their computer. Using infrared sensors, it is able to collect data about the position and motions of a user’s hands. This data allows the Leap to be used as an authentication device. This study explores the possibility of performing both login as well as continuous authentication using the Leap Motion device. The work includes classification of static data gathered by the Leap Motion using trained classifiers, with over 99% accuracy. In addition, data was recorded from the users while utilizing the Leap Motion to read and navigate through Wikipedia pages. A template was created using the user attributes that were found to have the highest merit. The algorithm found when matching the template to the users newly collected data, the authentication provided an accuracy of over 98%, and an equal error rate of 0.8% even for a small number of attributes. This study demonstrates that the Leap Motion can indeed by used successfully to both authenticate users at login as well as while performing continuous activities. As the Leap Motion is an inexpensive device, this raises the potential of using its data in the future for authentication instead of traditional keyboard passwords.

Original languageEnglish (US)
Title of host publicationHuman Aspects of Information Security, Privacy and Trust - 3rd International Conference, HAS 2015 Held as Part of HCI International 2015, Proceedings
PublisherSpringer Verlag
Pages13-22
Number of pages10
Volume9190
ISBN (Print)9783319203751
DOIs
StatePublished - 2015
Event3rd International Conference on Human Aspects of Information Security, Privacy and Trust, HAS 2015 Held as Part of 17th International Conference on Human-Computer Interaction, HCI International 2015 - Los Angeles, United States
Duration: Aug 2 2015Aug 7 2015

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume9190
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other3rd International Conference on Human Aspects of Information Security, Privacy and Trust, HAS 2015 Held as Part of 17th International Conference on Human-Computer Interaction, HCI International 2015
CountryUnited States
CityLos Angeles
Period8/2/158/7/15

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Keywords

  • Authentication
  • Biometrics
  • Security

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

Cite this

Chan, A., Halevi, T., & Memon, N. (2015). Leap motion controller for authentication via hand geometry and gestures. In Human Aspects of Information Security, Privacy and Trust - 3rd International Conference, HAS 2015 Held as Part of HCI International 2015, Proceedings (Vol. 9190, pp. 13-22). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9190). Springer Verlag. https://doi.org/10.1007/978-3-319-20376-8_2