Context Acquisition Based on Load Sensing

  • Albrecht Schmidt
  • Martin Strohbach
  • Kristof van Laerhoven
  • Adrian Friday
  • Hans-Werner Gellersen
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2498)


Load sensing is a mature and robust technology widely applied in process control. In this paper we consider the use of load sensing in everyday environments as an approach to acquisition of contextual information in ubiquitous computing applications. Since weight is an intrinsic property of all physical objects, load sensing is an intriguing concept on the physical-virtual boundary, enabling the inclusive use of arbitrary objects in ubiquitous applications. In this paper we aim to demonstrate that load sensing is a versatile source of contextual information. Using a series of illustrative experiments we show that using load sensing techniques we can obtain not just weight information, but object position and interaction events on a given surface. We describe the incorporation of load-sensing in the furniture and the floor of a living laboratory environment, and report on a number of applications that use context information derived from load sensing.


Load Cell Ubiquitous Computing Load Sensor Everyday Environment Context Acquisition 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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  1. 1.
    Addlesee, M.D., Jones, A., Livesey, F., and Samaria, F.: ORL Active Floor. IEEE Personal Communications, Vol. 4, No 5, October 1997, pp. 35–41. IEEE, Piscataway, NJ, USA.Google Scholar
  2. 2.
    Addlesee, M.D., Curwen, R., Hodges, S., Newman, J., Steggles, P., Ward, A., Hopper, A.: Implementing a Sentient Computing System. IEEE Computer Magazine, Vol. 34, No. 8, August 2001, pp. 50–56.Google Scholar
  3. 3.
    Brumitt, B., Krumm, J., Meyers, B., and Shafer, S.: Ubiquitous Computing and the Role of Geometry. IEEE Personal Communications, August 2000.Google Scholar
  4. 4.
    Crabtree, A., Hemmings, T. and Rodden, T.: Pattern-based Support for Interactive Design in Domestic Settings. Technical Report Equator-01-016, University of Nottingham, The School of Computer Science and IT, December 2001.
  5. 5.
    Dey, A.K.: Providing Architectural Support for Building Context-Aware Applications. Ph.D. thesis, December 2000, Dr. Gregory D. Abowd (advisor), College of Computing, Georgia Institute of TechnologyGoogle Scholar
  6. 6.
    Georgia Institut of Technology. The Aware Home Research Initiative.
  7. 7.
    Headon, R. and Curwen R.: Ubiquitous Game Control. UBICOMP 2001 Workshop on Designing Ubiquitous Computing Games. Atlanta, 2001.Google Scholar
  8. 8.
    Kidd, C., Orr, R., Abowd, G.D., Atkeson, C.G., Essa, I.A., MacIntyre, B., Mynatt, E., Starner, T.E., and Newstetter, W.: The Aware Home: A Living Laboratory for Ubiquitous Computing Research. Proceedings of the Second International Workshop on Cooperative Buildings-CoBuild’99. Position paper, October 1999.Google Scholar
  9. 9.
    Kistler force plate.
  10. 10.
    Konomi, S., Müller-Tomfelde, C., Streitz, N.: Passage: Physical Transportation of Digital Information in Cooperative Buildings. In: Streitz, N., Siegel, J., Hartkopf, V., Konomi, S. (Eds.), Cooperative Buildings-Integrating Information, Organizations, and Architecture. Proceedings of the Second International Workshop (CoBuild’99). LNCS 1670. Springer: Heidelberg. pp. 45–54.CrossRefGoogle Scholar
  11. 11.
    Krumm, J., Harris, S., Meyers, B., Brumitt, B., Hale, M., and Shafer S.: Multi-Camera Multi-Person Tracking for EasyLiving. IEEE Workshop on Visual Surveillance, July 2000.Google Scholar
  12. 12.
    Lancaster University, Embedded load sensing project,
  13. 13.
    Orr, R. J. and Abowd, G. D.: The Smart Floor: A Mechanism for Natural User Identification and Tracking. Proceedings of CHI 2000 Human Factors in Computing Systems (April 1–6, 2000, The Hague, Netherlands, ACM/SIGCHI.Google Scholar
  14. 14.
    Paradiso, J, Abler, C., Hsiao, K., Reynolds, M.: The Magic Carpet: Physical Sensing for Immersive Environments. In Late-Breaking/Short Demonstrations of CHI’97, pp. 277–278. ACM, USA.Google Scholar
  15. 15.
    Schilit, B.N., Adams, N.I., Want, R.: Context-Aware Computing Applications. Proceedings of the Workshop on Mobile Computing Systems and Applications, Santa Cruz, CA, December 1994. Pages 85–90. IEEE Computer Society.Google Scholar
  16. 16.
    Schmidt A., Laerhoven, K., Strohbach, M., Gellersen, H.: Ubiquitous Interaction-Using Surfaces in Everyday Environments as Pointing Devices. Paper submitted to 7th ERCIM Workshop “User Interfaces For All”, 2002.Google Scholar
  17. 17.
    Ward, A. J., Hopper, A.: A New Location Technique for the Active Office, IEEE Personal Communications, vol. 4, pp. 42–47, 1997.CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2002

Authors and Affiliations

  • Albrecht Schmidt
    • 1
  • Martin Strohbach
    • 1
  • Kristof van Laerhoven
  • Adrian Friday
    • 1
  • Hans-Werner Gellersen
    • 1
  1. 1.Computing DepartmentLancaster University LancasterUK

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