Advertisement

Multi-sensor Finger Ring for Authentication Based on 3D Signatures

  • Mehran Roshandel
  • Aarti Munjal
  • Peyman Moghadam
  • Shahin Tajik
  • Hamed Ketabdar
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8511)

Abstract

Traditional methods of authenticating a user, including password, a Personal Identification Number (PIN), or a more secure PIN entry method (A PIN entry method resilient against shoulder surfing [14]), can be stolen or accessed easily and, therefore, make the authentication unsecure. In this work, we present the usability of our multi-sensor based and standalone finger ring called Pingu in providing a highly secure access system. Specifically, Pingu allows users to make a 3D signature and record the temporal pattern of the signature via an advanced set of sensors. As a result, the user creates a 3D signature in air using his finger. Our approach has two main contributions: (1) Compared to other wearable devices, a finger ring is more socially acceptable, and (2) signatures created via a finger in the air or on a surface leaves no visible track and, thus, are extremely hard to forge. In other words, a 3D signature allows much higher flexibility in choosing a safe signature. Our experiment shows that the proposed hardware and methodology could result in a very high level of user authentication/identification performance.

Keywords

Human Computer Interaction (HCI) Touch less gestural interaction Wearable device Finger ring 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Ketabdar, H., Moghadam, P., Roshandel, M.: Pingu: A new miniature wearable device for ubiquitous computing environments. In: 2012 Sixth International Conference on Complex, Intelligent and Software Intensive Systems (CISIS), IEEE (2012)Google Scholar
  2. 2.
    Perng, J.K., Fisher, B., Hollar, S., Pister, K.S.J.: Acceleration sensing glove (ASG). In: The Third International Symposium on Wearable Computers (ISWC 1999), pp. 178–180 (1999)Google Scholar
  3. 3.
    Starner, T., et al.: The gesture pendant: A self-illuminating, wearable, infrared computer vision system for home automation control and medical monitoring. In: The Fourth International Symposium on Wearable Computers. IEEE (2000)Google Scholar
  4. 4.
    Mistry, P., Maes, P.: SixthSense: a wearable gestural interface. In: ACM SIGGRAPH ASIA 2009 Sketches. ACM (2009)Google Scholar
  5. 5.
    Ketabdar, H., Moghadam, P., Naderi, B., Roshandel, M.: Magnetic signatures in air for mobile devices. In: Mobile HCI 2012, pp. 185–188 (2012)Google Scholar
  6. 6.
    Loclair, C., Gustafson, S., Baudisch, P.: PinchWatch: a wearable device for one-handed microinteractions. In: Proc. MobileHCI (2010)Google Scholar
  7. 7.
    Ashbrook, D., Baudisch, P., White, S.: Nenya: subtle and eyes-free mobile input with a magnetically-tracked finger ring. In: Proceedings of the 2011 Annual Conference on Human Factors in Computing Systems. ACM (2011)Google Scholar
  8. 8.
    Kratz, S., Rohs, M.: HoverFlow: expanding the design space of around-device interaction. In: Proc. of the 11th International Conference on Human Interaction with Mobile Devices and Services, Bonn, Germany, pp. 1–8 (2009)Google Scholar
  9. 9.
    Butler, A., Izadi, S., Hodges, S.: SideSight: multi- “touch” interaction around small devices. In: Proc. UIST, pp. 201–204 (2008)Google Scholar
  10. 10.
    Kim, J., He, J., Lyons, K., Starner, T.: The Gesture Watch: a wireless contact-free gesture based wrist interface. In: Proc. ISWC, pp. 15–22 (2007)Google Scholar
  11. 11.
    Witten, H.I., Frank, E.: Data Mining: Practical Machine Learning Tools and Techniques with Java Implementations. Morgan Kaufmann (1999)Google Scholar
  12. 12.
  13. 13.
    Ring, T.I., Roth, V., Schmidt, P., Güldenring, B.: Authenticating users’ touches on a multi-touch display. In: Proc. UIST (2010)Google Scholar
  14. 14.
    Roth, V., Richter, K., Freidinger, R.: A PIN entry method resilient against shoulder surfing. In: Proc. 11th ACM Conference on Computer and Communications Security, Washington, DC, USA (2004)Google Scholar
  15. 15.
    Ketabdar, H., Abolhassani, A.H., Roshandel, M.: MagiThings: Gestural Interaction with Mobile Devices Based on Using Embedded Compass (Magnetic Field) Sensor. IJMHCI 5(3), 23–41 (2013)Google Scholar
  16. 16.
    Ketabdar, H., Moghadam, P., Naderi, B., Roshandel, M.: Magnetic signatures in air for mobile devices. In: Mobile HCI 2012, pp. 185–188 (2012)Google Scholar

Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Mehran Roshandel
    • 1
  • Aarti Munjal
    • 2
  • Peyman Moghadam
    • 3
  • Shahin Tajik
    • 1
  • Hamed Ketabdar
    • 4
  1. 1.Deutsche Telekom Innovations LaboratoriesBerlinGermany
  2. 2.Department of Biostatistics and InformaticsUniversity of Colorado DenverAuroraUSA
  3. 3.Autonomous SystemsCSIRO Computational InformaticsPullenvaleAustralia
  4. 4.Quality and Usability LabTU Berlin Deutsche Telekom Innovation LaboratoriesBerlinGermany

Personalised recommendations