Skip to main content
SpringerLink
Log in
Book cover

International Symposium on Visual Computing

ISVC 2009: Advances in Visual Computing pp 490–499Cite as

Augmenting Exercise Systems with Virtual Exercise Environment

  • Conference paper

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 5875))

Abstract

Adhering to an exercise program is a challenge for everybody who wants to build a healthier body and lifestyle through physical exercise. We have developed an Virtual Exercise Environment (VEE) that augments stationary exercise equipment with virtual reality techniques to make exercising more enjoyable. Our VEE system consists of a recording system to capture video, distance and incline data about real trails, and a playback system which “displays” both video and terrain data in the form of video speed and resistance. Trails are played back according to the speed the user generates on the stationary exercise equipment. The system uses commodity capture and display devices and supports standard interfaces for existing exercise equipment. User studies have shown that users enjoy the ability to guage their progress and performance via their progress through trail playback in the VEE.

This is a preview of subscription content, log in via an institution.

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   129.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Porcari, J.P., Zedaker, J.M., Maldari, M.M.: Real increased exercise performance results when members have more to engage their attention than their own effort and fatigue. Fitness Management Magazine 14, 50–51 (1998)

    Google Scholar 

  2. Cybex: Cybex Trazer (2007), http://www.cybextrazer.com

  3. Thompson, W.B., Creem-Regehr, S.H., Mohler, B.J., Willemsen, P.: Investigations on the interactions between vision and locomotion using a treadmill virtual environment. In: Proc. SPIE/IS&T Human Vision and Electronic Imaging Conference, vol. 5666, pp. 481–492 (2005)

    Google Scholar 

  4. Hollerbach, J.M.: Locomotion interfaces. In: Handbook of Virtual Environments Technology

    Google Scholar 

  5. Naimark, M., Clay, P., Mohl, B.: Aspen Movie Map (1978), http://www.naimark.net/projects/aspen.html

  6. Google: Google Street View (2007), http://maps.google.com/help/maps/streetview

  7. PointGreyResearch: Ladybug (2006), http://www.ptgrey.com/products/spherical.asp

  8. Foote, J., Kimber, D.: Flycam: practical panoramic video and automatic camera control. In: Proc. IEEE International Conference on Multimedia and Expo., vol. 3, pp. 1419–1422 (2000)

    Google Scholar 

  9. Nanda, H., Cutler, R.: Practical calibrations for a real-time digital omnidirectional camera. In: Technical Sketches IEEE International Conference on Computer Vision and Pattern Recognition (2001)

    Google Scholar 

  10. Measurement Specialties, I.: Schaevitz accustar clinometer (2007), http://www.meas-spec.com/myMeas/sensors/schaevitz.asp

  11. Brown, D.C.: Decentering distortion of lenses. Photogrammetric Engineering 32, 444–462 (1966)

    Google Scholar 

  12. Conrady, A.: Decentering lens systems. Monthly Notices of the Royal Astronomical Society 79, 384–390 (1919)

    Google Scholar 

  13. Brown, D.C.: Close-range camera calibration. Photogrammetric Engineering 37, 855–866 (1971)

    Google Scholar 

  14. Devernay, F., Faugeras, O.: Straight lines have to be straight: automatic calibration and removal of distortion from scenes of structured environments. Machine Vision and Applications 1, 14–24 (2001)

    Article  Google Scholar 

  15. Chen, S.E.: Quicktime vr c an image-based approach to virtual environment navigation. In: Computer Graphics (SIGGRAPH 1995), pp. 29–38 (1995)

    Google Scholar 

  16. Goshtasby, A.A.: 2-D and 3-D Image Registration. John Wiley & Sons, Hoboken (2005)

    Google Scholar 

  17. Wolberg, G.: Digital Image Warping. IEEE Computer Society Press, Los Alamitos (1990)

    Google Scholar 

  18. Xu, W., Penners, J., Mulligan, J.: Recording real worlds for playback in a virtual exercise environment. Computer Science CU-CS 1013-06, University of Colorado at Boulder, Boulder, CO (2006)

    Google Scholar 

  19. FitLinxx: Communications SpecificAtion for Fitness Equipment, CSAFE (2004), http://www.fitlinxx.com/CSAFE/

Download references

Author information

Authors and Affiliations

  1. Department of Computer Science, University of Colorado at Boulder, Boulder, Colorado, 80309-0430, USA

    Wei Xu, Jaeheon Jeong & Jane Mulligan

Authors
  1. Wei Xu
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Jaeheon Jeong
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Jane Mulligan
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Department of Computer Science and Engineering, University of Nevada, Reno, USA

    George Bebis

  2. NASA Ames Research Center, Moffett Field, CA, USA

    Richard Boyle

  3. Lawrence Berkeley National Laboratory, Berkeley, CA, USA

    Bahram Parvin

  4. Desert Research Institute, Reno, NV, USA

    Darko Koracin

  5. Graduate School of Science and Engineering, Saitama University, 255 Shimo-Okubo, Sakura-ku, Saitama-shi, 338-8570, Saitama, Japan

    Yoshinori Kuno

  6. Institute for Infocomm Research, 21 Heng Mui Keng Terrace, P.O. Box, 119613, Singapore

    Junxian Wang

  7. Department of Computer Science & Information Engineering, Tamkang University, Tamsui, Taipei, Taiwan, R.O.C.

    Jun-Xuan Wang

  8. Microsoft Research, Redmond, WA, USA

    Junxian Wang

  9. Department of Informatics, Univ. of Zurich, Winterthurerstr. 190, P.O. Box, 8057, Zurich, Switzerland

    Renato Pajarola

  10. Lawrence Livermore National Laboratory, 94550, Livermore, CA, USA

    Peter Lindstrom

  11. University of Applied Sciences Bonn-Rhein-Sieg, 53754, Sankt Augustin, Germany

    André Hinkenjann

  12. Humana Inc., 40202, Louisville, KY, USA

    Miguel L. Encarnação

  13. SCI Institute & School of Computing, University of Utah, 84112, Salt Lake City, UT, USA

    Cláudio T. Silva

  14. Desert Research Institute, 89512, Reno, NV, USA

    Daniel Coming

Rights and permissions

Reprints and permissions

Copyright information

© 2009 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Xu, W., Jeong, J., Mulligan, J. (2009). Augmenting Exercise Systems with Virtual Exercise Environment. In: Bebis, G., et al. Advances in Visual Computing. ISVC 2009. Lecture Notes in Computer Science, vol 5875. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-10331-5_46

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-10331-5_46

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-10330-8

  • Online ISBN: 978-3-642-10331-5

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation