Skip to main content

Qualitative Spatial Scene Modeling for Ambient Intelligence Environments

  • Conference paper
Intelligent Robotics and Applications (ICIRA 2008)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 5314))

Included in the following conference series:

Abstract

In ambient intelligence systems, it is necessary to represent and reason about dynamic spatial scenes and configurations. Primarily, the ability to perform predictive and explanatory analyses on the basis of available sensory data is crucial toward serving a useful intelligent function within such environments. In this paper, we present a qualitative model for representing the relevant aspects of these environments in an adequate manner. The model is suited for reasoning about spatial configurations and dynamics in spatial environments. We clarify and elaborate on our ideas with examples grounded in a smart home environment.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Gottfried, B., Guesgen, H.W., Hübner, S.: Spatiotemporal reasoning for smart homes. In: Designing Smart Homes, pp. 16–34 (2006)

    Google Scholar 

  2. Galton, A.: Causal reasoning for alert generation in smart homes. In: Designing Smart Homes, pp. 57–70 (2006)

    Google Scholar 

  3. Cohn, A., Hazarika, S.: Qualitative spatial representation and reasoning: An overview. Fundam. Inf. 46(1-2), 1–29 (2001)

    MathSciNet  MATH  Google Scholar 

  4. Randell, D.A., Cui, Z., Cohn, A.: A spatial logic based on regions and connection. In: KR 1992. Principles of Knowledge Representation and Reasoning: Proceedings of the Third International Conference, pp. 165–176. Morgan Kaufmann, San Mateo (1992)

    Google Scholar 

  5. Moratz, R.: Representing relative direction as a binary relation of oriented points. In: Brewka, G., Coradeschi, S., Perini, A., Traverso, P. (eds.) ECAI, Riva del Garda, Italy, pp. 407–411. IOS Press, Amsterdam (2006)

    Google Scholar 

  6. Freksa, C.: Qualitative spatial reasoning. In: Mark, D., Frank, A. (eds.) Cognitive and linguistic aspects of geographic space, pp. 361–372. Kluwer, Dordrecht (1991)

    Google Scholar 

  7. Freksa, C., Röhrig, R.: Dimensions of qualitative spatial reasoning. In: Carreté, N.P., Singh, M.G. (eds.) Proceedings of the III IMACS International Workshop on Qualitative Reasoning and Decision Technologies – QUARDET 1993, CIMNE Barcelona, pp. 483–492 (1993)

    Google Scholar 

  8. Balbiani, P., Osmani, A.: A model for reasoning about topologic relations between cyclic intervals. In: Cohn, A.G., Giunchiglia, F., Selman, B. (eds.) KR 2000: Principles of Knowledge Representation and Reasoning, pp. 378–385. Morgan Kaufmann, San Francisco (2000)

    Google Scholar 

  9. Freksa, C.: Using orientation information for qualitative spatial reasoning. In: Frank, A.U., Campari, I., Formentini, U. (eds.) Theories and methods of spatio-temporal reasoning in geographic space, pp. 162–178. Springer, Berlin (1992)

    Google Scholar 

  10. Schlieder, C.: Reasoning about ordering. In: Kuhn, W., Frank, A.U. (eds.) COSIT 1995. LNCS, vol. 988, pp. 341–349. Springer, Heidelberg (1995)

    Google Scholar 

  11. Freksa, C.: Conceptual neighborhood and its role in temporal and spatial reasoning. In: Singh, M.G., Travé-Massuyès, L. (eds.) Proceedings of the IMACS Workshop on Decision Support Systems and Qualitative Reasoning, pp. 181–187. North-Holland, Amsterdam (1991)

    Google Scholar 

  12. Renz, J., Rauh, R., Knauff, M.: Towards cognitive adequacy of topological spatial relations. In: Spatial Cognition II, Integrating Abstract Theories, Empirical Studies, Formal Methods, and Practical Applications, pp. 184–197. Springer, Heidelberg (2000)

    Google Scholar 

  13. Knauff, M., Rauh, R., Renz, J.: A cognitive assessment of topological spatial relations: Results from an empirical investigation. In: Frank, A.U. (ed.) COSIT 1997. LNCS, vol. 1329, pp. 193–206. Springer, Heidelberg (1997)

    Chapter  Google Scholar 

  14. Clarke, B.L.: A calculus of individuals based on ‘connection’. Notre Dame Journal of Formal Logic 22(3), 204–218 (1991)

    Article  Google Scholar 

  15. Clarke, B.L.: Individuals and points. Notre Dame Journal of Formal Logic 26(1), 61–75 (1985)

    Article  MathSciNet  MATH  Google Scholar 

  16. Egenhofer, M.J., Franzosa, R.D.: Point Set Topological Relations. International Journal of Geographical Information Systems 5(2), 161–174 (1991)

    Article  Google Scholar 

  17. Dylla, F., Wallgrün, J.O.: Qualitative spatial reasoning with conceptual neighborhoods for agent control. Journal of Intelligent and Robotic Systems 48(1), 55–78 (2007)

    Article  Google Scholar 

  18. Lin, F.: Embracing causality in specifying the indirect effects of actions. In: IJCAI, pp. 1985–1993 (1995)

    Google Scholar 

  19. Bhatt, M., Loke, S.: Modelling dynamic spatial systems in the situation calculus. Journal of Spatial Cognition and Computation: Special Issue on Spatio-Temporal Reasoning (to appear, 2008)

    Google Scholar 

  20. Lin, F., Reiter, R.: State constraints revisited. Journal of Logic and Computation 4, 655–678 (1994)

    Article  MathSciNet  MATH  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2008 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Dylla, F., Bhatt, M. (2008). Qualitative Spatial Scene Modeling for Ambient Intelligence Environments. In: Xiong, C., Huang, Y., Xiong, Y., Liu, H. (eds) Intelligent Robotics and Applications. ICIRA 2008. Lecture Notes in Computer Science(), vol 5314. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-88513-9_77

Download citation

  • DOI: https://doi.org/10.1007/978-3-540-88513-9_77

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-88512-2

  • Online ISBN: 978-3-540-88513-9

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics