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Web-Enhanced GPS

  • Ramaswamy Hariharan
  • John Krumm
  • Eric Horvitz
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3479)

Abstract

Location-based services like reminders, electronic graffiti, and tourist guides normally require a custom, location-sensitive database that must be custom-tailored for the application at hand. This deployment cost reduces the initial appeal of such services. However, there is much location-tagged data already available on the Web which can be easily used to create compelling location-aware applications with almost no deployment cost. Such tagged data can be used directly in applications as well as to provide evidence in models of activity. We describe three applications that take advantage of existing Web data combined with location measurements from a GPS receiver. The first application, “Pinpoint Search”, finds web pages of nearby places based on GPS coordinates, queries from a Web mapping service, and general Web searches. The second application, “XRay”, uses the mapping service to find businesses in a building by pointing a GPS-equipped electronic compass at the building. The third application is called “Travelogue”, and it builds a map and clickable points of interest to help automatically annotate a trip based on GPS coordinates. Finally, we discuss the use of Web-based data as rich sources of evidence for probabilistic models of a user’s activity, including a means for interpreting the explanation for the loss of Web signals as users enter structures.

Keywords

Dynamic Bayesian Network Augmented Reality System Deployment Cost Street Address Mobile Augmented Reality 
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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References

  1. 1.
    Marmasse, N.: comMotion: A Context-Aware Communication System. In: CHI 1999 (1999)Google Scholar
  2. 2.
    Pascoe, J.: The Stick-e Note Architecture: Extending the Interface Beyond the User. In: IUI 1997, Orlando, Florida, USA (1997)Google Scholar
  3. 3.
    Abowd, G.D., et al.: Cyberguide: A Mobile Context-Aware Tour Guide. ACM Wireless Networks 3, 421–433 (1997)CrossRefGoogle Scholar
  4. 4.
  5. 5.
  6. 6.
    Smith, M., Davenport, D., Hwa, H.: AURA: A mobile platform for object and location annotation. In: Dey, A.K., Schmidt, A., McCarthy, J.F. (eds.) UbiComp 2003. LNCS, vol. 2864, Springer, Heidelberg (2003)Google Scholar
  7. 7.
    Feiner, S., et al.: A touring machine: Prototyping 3D mobile augmented reality systems for exploring the urban environment. In: First IEEE Int. Symp. on Wearable Computers (ISWC 1997), Cambridge, MA, USA (1997)Google Scholar
  8. 8.
    Kutulakos, K.N., Vallino, J.R.: Calibration-Free Augmented Reality. IEEE Transactions on Visualization and Computer Graphics 4(4), 1–20 (1998)CrossRefGoogle Scholar
  9. 9.
    Griswold, W.G., et al.: ActiveCampus - Sustaining Educational Communities through Mobile Technology. University of California at San Diego, San Diego (2002)Google Scholar
  10. 10.
    Hariharan, R., Toyama, K.: Project lachesis: Parsing and modeling location histories. In: Egenhofer, M.J., Freksa, C., Miller, H.J. (eds.) GIScience 2004. LNCS, vol. 3234, pp. 106–124. Springer, Heidelberg (2004)CrossRefGoogle Scholar
  11. 11.
    Krumm, J., Hariharan, R.: TempIO: Inside/Outside Classification with Temperature. In: Second International Workshop on Man-Machine Symbiotic Systems, Kyoto, Japan (2004)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Ramaswamy Hariharan
    • 1
  • John Krumm
    • 2
  • Eric Horvitz
    • 2
  1. 1.School of Information and Computer SciencesUniversity of CaliforniaIrvineUSA
  2. 2.Microsoft Research, Microsoft Corporation, One Microsoft WayRedmondUSA

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