skip to main content
10.1145/2380116.2380135acmconferencesArticle/Chapter ViewAbstractPublication PagesuistConference Proceedingsconference-collections
research-article

iRing: intelligent ring using infrared reflection

Published:07 October 2012Publication History

ABSTRACT

We present the iRing, an intelligent input ring device developed for measuring finger gestures and external input. iRing recognizes rotation, finger bending, and external force via an infrared (IR) reflection sensor that leverages skin characteristics such as reflectance and softness. Furthermore, iRing allows using a push and stroke input method, which is popular in touch displays. The ring design has potential to be used as a wearable controller because its accessory shape is socially acceptable, easy to install, and safe, and iRing does not require extra devices. We present examples of iRing applications and discuss its validity as an inexpensive wearable interface and as a human sensing device.

Skip Supplemental Material Section

Supplemental Material

paper_0187-file3.mp4

mp4

78.9 MB

References

  1. Wing, A. M., Haggard, P., and Flanagan, J. R. Hand and Brain: The Neurophysiology and Psychology of Hand Movements, Academic Press, Inc (1996).Google ScholarGoogle Scholar
  2. Rekimoto, J. GestureWrist and GesturePad: unobtrusive wearable interaction devices. In Proc. ISWC '01, pp. 21--27. Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. Fukui, R., Watanabe, M., Gyota, T., Shimosaka, M. and Sato, T. Hand shape classification with a wrist contour sensor: development of a prototype device. In Proc. UbiComp '11, pp. 311--314. Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. Tsukada, K., and Yasumura, M. Ubi-Finger: a Simple Gesture Input Device for Mobile and Ubiquitous Environment, Journal of Asian Information, Science and Life (AISL), Vol. 2, No. 2, pp. 111--120, 2004.Google ScholarGoogle Scholar
  5. Ashbrook, D., Baudisch, P. and White, S. Nenya: subtle and eyes-free mobile input with a magnetically-tracked finger ring. In Proc. CHI '11, pp. 2043--2046. Google ScholarGoogle ScholarDigital LibraryDigital Library
  6. Rhee, S., Yang, B. H. and Asada, H. H. Artifact-resistant power-efficient design of finger-ring plethysmographic sensors. IEEE Transactions on Biomedical Engineering, Vol. 48, Num. 7, pp. 795--805, 2001.Google ScholarGoogle ScholarCross RefCross Ref
  7. Sugiura, Y., Kakehi, G., Withana, A., Lee, C., Sakamoto, D., Sugimoto, M., Inami, M., and Igarashi, T. Detecting shape deformation of soft objects using directional photoreflectivity measurement. In Proc UIST '11, pp. 509--516. Google ScholarGoogle ScholarDigital LibraryDigital Library
  8. Mascaro, S. A. and Asada, H. H. Photoplethysmograph fingernail sensors for measuring finger forces without haptic obstruction. IEEE Transactions on Robotics and Automation, vol. 17, no. 5, pp. 698--708, 2001.Google ScholarGoogle ScholarCross RefCross Ref

Index Terms

  1. iRing: intelligent ring using infrared reflection

    Recommendations

    Comments

    Login options

    Check if you have access through your login credentials or your institution to get full access on this article.

    Sign in
    • Published in

      cover image ACM Conferences
      UIST '12: Proceedings of the 25th annual ACM symposium on User interface software and technology
      October 2012
      608 pages
      ISBN:9781450315807
      DOI:10.1145/2380116

      Copyright © 2012 ACM

      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

      Publisher

      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 7 October 2012

      Permissions

      Request permissions about this article.

      Request Permissions

      Check for updates

      Qualifiers

      • research-article

      Acceptance Rates

      Overall Acceptance Rate842of3,967submissions,21%

      Upcoming Conference

      UIST '24

    PDF Format

    View or Download as a PDF file.

    PDF

    eReader

    View online with eReader.

    eReader