Qualitative Spatial Scene Modeling for Ambient Intelligence Environments

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.

[1]  B. L. Clark.  Individuals and points. , 1985 .

[2]  MAX J. EGENHOFER,et al.  Point Set Topological Relations , 1991, Int. J. Geogr. Inf. Sci..

[3]  Frank Dylla,et al.  Qualitative Spatial Reasoning with Conceptual Neighborhoods for Agent Control , 2007, J. Intell. Robotic Syst..

[4]  Anthony G. Cohn,et al.  Qualitative Spatial Representation and Reasoning: An Overview , 2001, Fundam. Informaticae.

[5]  Bowman L. Clarke,et al.  Individuals and points , 1985, Notre Dame J. Formal Log..

[6]  Bowman L. Clarke,et al.  A calculus of individuals based on "connection" , 1981, Notre Dame J. Formal Log..

[7]  Antony Galton.  Causal Reasoning for Alert Generation in Smart Homes , 2006, Designing Smart Homes.

[8]  Christian Freksa,et al.  Using Orientation Information for Qualitative Spatial Reasoning , 1992, Spatio-Temporal Reasoning.

[9]  Christoph Schlieder,et al.  Reasoning About Ordering , 1995, COSIT.

[10]  Fangzhen Lin,et al.  Embracing Causality in Specifying the Indirect Effects of Actions , 1995, IJCAI.

[11]  Christian Freksa,et al.  Qualitative spatial reasoning , 1990, Forschungsberichte, TU Munich.

[12]  Reinhold Rauh,et al.  Towards Cognitive Adequacy of Topological Spatial Relations , 2000, Spatial Cognition.

[13]  Anthony G. Cohn,et al.  A Spatial Logic based on Regions and Connection , 1992, KR.

[14]  David M. Mark,et al.  Cognitive and Linguistic Aspects of Geographic Space: New Perspectives on Geographic Information Research , 1991 .

[15]  Wilfried Brauer,et al.  Spatial Cognition II, Integrating Abstract Theories, Empirical Studies, Formal Methods, and Practical Applications , 2000 .

[16]  Hans W. Guesgen,et al.  Spatiotemporal Reasoning for Smart Homes , 2006, Designing Smart Homes.

[17]  Andrew U. Frank,et al.  Spatial Information Theory A Theoretical Basis for GIS , 1993, Lecture Notes in Computer Science.

[18]  Fangzhen Lin,et al.  State Constraints Revisited , 1994, J. Log. Comput..

[19]  Andrew U. Frank,et al.  Theories and Methods of Spatio-Temporal Reasoning in Geographic Space , 1992, Lecture Notes in Computer Science.

[20]  Mehul Bhatt,et al.  Modelling Dynamic Spatial Systems in the Situation Calculus , 2008, Spatial Cogn. Comput..

[21]  Christian Freksa,et al.  DIMENSIONS OF QUALITATIVE SPATIAL REASONING , 1999 .

[22]  Reinhold Rauh,et al.  A Cognitive Assessment of Topological Spatial Relations: Results from an Empirical Investigation , 1997, COSIT.

[23]  Reinhard Moratz,et al.  Representing Relative Direction as a Binary Relation of Oriented Points , 2006, ECAI.

[24]  Stephan Winter,et al.  Spatial Information Theory, 8th International Conference, COSIT 2007, Melbourne, Australia, September 19-23, 2007, Proceedings , 2007, COSIT.

[25]  Travé-Massuyès.  Conceptual Neighborhood and its role in temporal and spatial reasoning , 1991 .

[26]  Philippe Balbiani,et al.  A Model for Reasoning about Topologic Relations between cyclic intervals , 2000, KR.