skip to main content
10.1145/2207676.2208330acmconferencesArticle/Chapter ViewAbstractPublication PageschiConference Proceedingsconference-collections
research-article

Humantenna: using the body as an antenna for real-time whole-body interaction

Authors Info & Claims
Published:05 May 2012Publication History

ABSTRACT

Computer vision and inertial measurement have made it possible for people to interact with computers using whole-body gestures. Although there has been rapid growth in the uses and applications of these systems, their ubiquity has been limited by the high cost of heavily instrumenting either the environment or the user. In this paper, we use the human body as an antenna for sensing whole-body gestures. Such an approach requires no instrumentation to the environment, and only minimal instrumentation to the user, and thus enables truly mobile applications. We show robust gesture recognition with an average accuracy of 93% across 12 whole-body gestures, and promising results for robust location classification within a building. In addition, we demonstrate a real-time interactive system which allows a user to interact with a computer using whole-body gestures

Skip Supplemental Material Section

Supplemental Material

paperfile1224-3.mp4

Supplemental video for “Humantenna: using the body as an antenna for real-time whole-body interaction”

References

  1. Agrawal, S., Constandache, I., Gaonkar, S., Choudhury, R., Caves, K, DeRuyter, F. Using mobile phones to write in air. In Proc of Mobisys 2011, 15--28. Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. Chen, W. T. and Chuang, H. R. Numerical Computation of the EM Coupling between a Circular Loop Antenna and a Full-Scale Human-Body Model. IEEE Trans. Microw. Theory Tech., 46.10 (1998), 1516--1520.Google ScholarGoogle ScholarCross RefCross Ref
  3. Cohn, G., Morris, D., Patel, S. N., Tan, D. S. Your Noise is My Command: Sensing Gestures Using the Body as an Antenna. In Proc of ACM CHI 2011, 791--800. Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. Gupta, S., Reynolds, M. S., Patel, S. N. ElectriSense: Single-Point Sensing Using EMI for Electrical Event Detection and Classification in the Home. In Proc of ACM Ubicomp 2010, 139--148. Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. Hall, P. S. and Hoa, Y. Antennas and Propagation for Body Centric Communications. Proc Euro Conf on Antennas and Propagation 2006, 1--7.Google ScholarGoogle ScholarCross RefCross Ref
  6. Hall, M., Frank, E., Holmes, G., Pfahringer, B., Reutemann, P., Witten, I. H. The WEKA Data Mining Software: An Update. SIGKDD Explorations, 11.1 (2009). Google ScholarGoogle ScholarDigital LibraryDigital Library
  7. Harrison, C., Tan, D. Morris, D. Skinput: Appropriating the Body as an Input Surface. In Proc CHI 2010. Google ScholarGoogle ScholarDigital LibraryDigital Library
  8. Junker, H., Lukowitz, P., Troester, G. Continuous recognition of arm activities with body-worn inertial sensors. In Proc of ISWC 2004, 188--189. Google ScholarGoogle ScholarDigital LibraryDigital Library
  9. Larson, E., Cohn, G., Gupta, S., Ren, X., Harrison, B., Fox, D., Patel, S. N. HeatWave: thermal imaging for surface user interaction. In Proc of CHI 2011, 2565--2574. Google ScholarGoogle ScholarDigital LibraryDigital Library
  10. Michoud, B., Guillou, E., Bouakaz, S. Real-time and markerless 3D human motion capture using multiple views. In Proc of Human Motion 2007, 88--103. Google ScholarGoogle ScholarDigital LibraryDigital Library
  11. Rekimoto, J. GestureWrist and GesturePad: Unobtrusive Wearable Interaction Devices. In Proc of ISWC 2001. Google ScholarGoogle ScholarDigital LibraryDigital Library
  12. Saponas, S., Tan, D., Morris, D., Balakrishnan, R., Turner, J., Landay, J. Enabling Always-Available Input with Muscle-Computer Interfaces. In Proc UIST 2009. Google ScholarGoogle ScholarDigital LibraryDigital Library
  13. Scott, J., Dearman, D., Yatani, K., Truong, K. N. Sensing foot gestures from the pocket. In Proc of UIST 2010. Google ScholarGoogle ScholarDigital LibraryDigital Library
  14. Vicon. http://www.vicon.comGoogle ScholarGoogle Scholar
  15. Wachs, J., Kölsch, M., Stern, H., Edan Y. Vision-based hand-gesture applications. In Comm. ACM 54.2, 60--71. Google ScholarGoogle ScholarDigital LibraryDigital Library
  16. Xbox Kinect. http://www.xbox.com/en-US/kinect.Google ScholarGoogle Scholar

Index Terms

  1. Humantenna: using the body as an antenna for real-time whole-body interaction

    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
      CHI '12: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
      May 2012
      3276 pages
      ISBN:9781450310154
      DOI:10.1145/2207676

      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: 5 May 2012

      Permissions

      Request permissions about this article.

      Request Permissions

      Check for updates

      Qualifiers

      • research-article

      Acceptance Rates

      Overall Acceptance Rate6,199of26,314submissions,24%

      Upcoming Conference

      CHI '24
      CHI Conference on Human Factors in Computing Systems
      May 11 - 16, 2024
      Honolulu , HI , USA

    PDF Format

    View or Download as a PDF file.

    PDF

    eReader

    View online with eReader.

    eReader