Locomotion Activities in Smart Environments

  • Björn Gottfried


One subarea in the context of ambient intelligence concerns the support of moving objects, i. e. to monitor the course of events while an object crosses a smart environment and to intervene if the environment could provide assistance. For this purpose, the smart environment has to employ methods of knowledge representation and spatiotemporal reasoning. This enables the support of such diverse tasks as wayfinding, spatial search, and collaborative spatial work.


Locomotion Activity Mobile Agent Smart Home Sensory Level Locomotion Behaviour 
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]
    Abraham T, Roddick JF (1999) Survey of spatio-temporal databases. GeoInformatica 3(1):61–99CrossRefGoogle Scholar
  2. [2]
    Allen JF (1983) Maintaining knowledge about temporal intervals. Communications of the ACM 26(11):832–843MATHCrossRefGoogle Scholar
  3. [3]
    Andrienko N, Andrienko G (2007) Extracting patterns of individual movement behaviour from a massive collection of tracked positions. In: Gottfried B (ed) Proceedings of the 1st Workshop on Behaviour Monitoring and Interpretation (BMI’07), CEURS Proceedings, vol 296, pp 1–16Google Scholar
  4. [4]
    Balazinska M, Deshpande A, Franklin MJ, Gibbons PB, Gray J, Handsen M, Liebhold M, Nath S, Szalay A, Tao V (2007) Data Management in the Worldwide Sensor Web. Pervasive Computing 6(2):30–40CrossRefGoogle Scholar
  5. [5]
    Bittner T (2001) The qualitative structure of built environments. Fundamenta Informaticae 46(1–2):97–128MATHMathSciNetGoogle Scholar
  6. [6]
    Cohn AG, Hazarika SM (2001) Qualitative spatial representation and reasoning: An overview. Fundamenta Informaticae 43:2–32MathSciNetGoogle Scholar
  7. [7]
    Colliver V (2004) Hospital of the future: High-tech system helps improve quality of care. San Francisco Chronicle p E 1Google Scholar
  8. [8]
    Cook DJ (2006) Health Monitoring and Assistance to Support Aging in Place. Journal of Universal Computer Science 12(1):15–29Google Scholar
  9. [9]
    Edelsbrunner H (1987) Algorithms in combinatorial geometry. Springer, BerlinMATHGoogle Scholar
  10. [10]
    Egenhofer M, Franzosa R (1991) Point-Set Topological Spatial Relations. International Journal of Geographical Information Systems 5(2):161–174CrossRefGoogle Scholar
  11. [11]
    Epstein SL (1997) Spatial representation for pragmatic navigation. In: Hirtle SC, Frank AU (eds) Spatial Information Theory COSIT ’97, LNCS, Springer, pp 373–388Google Scholar
  12. [12]
    Gaerling T, Lindberg E, Maentylae T (1983) Orientation in buildings: Effects of familiarity, visual access, and orientation aids. Applied Psychology 68:177–186CrossRefGoogle Scholar
  13. [13]
    Gaerling T, Book A, Lindberg E (1986) Spatial orientation and wayfinding in the designed environment: A conceptual analysis and some suggestions for postoccupancy evaluation. Journal of Architectural Planning Resources 3:55–64Google Scholar
  14. [14]
    Gibson J (1979) The ecological approach to visual perception. Hughton Mifflin Company, BostonGoogle Scholar
  15. [15]
    Goodman J, Pollack R (1993) Allowable sequences and order types in discrete and computational geometry. In: Pach J (ed) New trends in discrete and computational geometry, Springer, Berlin, pp 103–134Google Scholar
  16. [16]
    Gottfried B (2006) Spatial health systems. In: Bardram JE, Chachques JC, Varshney U (eds) 1st International Conference on Pervasive Computing Technologies for Healthcare (PCTH 2006), November 29 – December 1, Innsbruck, Austria, IEEE Press, p 7Google Scholar
  17. [17]
    Gottfried B (2008) Representing short-term observations of moving objects by a simple visual language. Journal of Visual Languages and Computing 19:321–342CrossRefGoogle Scholar
  18. [18]
    Gottfried B (2009) Modelling spatiotemporal developments in spatial health systems. In: Olla P, Tan J (eds) Mobile Health Solutions for Biomedical Applications, IGI Global (Idea Group Publishing), pp 270–284Google Scholar
  19. [19]
    Gottfried B, Guesgen HW, Hübner S (2006) Spatiotemporal reasoning for smart homes. In: Augusto JC, Nugent CD (eds) Designing Smart Homes, The Role of Artificial Intelligence, LNCS, vol 4008, Springer, Heidelberg, pp 16–34CrossRefGoogle Scholar
  20. [20]
    Grenon P, Smith B (2004) SNAP and SPAN: Towards dynamic spatial ontology. Spatial Cognition and Computation 4:69–104CrossRefGoogle Scholar
  21. [21]
    Guesgen HW, Marsland S (2009) Spatio-temporal reasoning and context awareness. In: Nakashima H, Augusto JC, Aghajan H (eds) Handbook of Ambient Intelligence and Smart Environments, LNCS (this volume), Springer, HeidelbergGoogle Scholar
  22. [22]
    Güting RH, Schneider M (2005) Moving Object Databases. Morgan Kaufmann Publishers, San Fransisco, CA, USAGoogle Scholar
  23. [23]
    Heine C, Kirn S (2004) Adapt at - agent based support of clinical processes. In: Proceedings of the 13th European Conference on Information Systems, The European IS Profession in the Global Networking Environment, ECIS 2004, Turku, Finland, June 14–16, p 14Google Scholar
  24. [24]
    Hightower J, Borriello G (2001) A Survey and Taxonomy of Location Systems for Ubiquitous Computing. Technical Report UW-CSE 01-08-03, University of Washington, Computer Science and Engineering, Box 352350, Seattle, WA 98195Google Scholar
  25. [25]
    Hirtle S, Heidron B (1993) The structure of cognitive maps: Representations and processes. In: Gaerling T, Golledge R (eds) Behaviour and Environment: Psychological and Geographical Aspects, Elsevier Science Publishers, pp 170–192Google Scholar
  26. [26]
    Hopkinson A (2007) State of the Art in RFID Technology. INFOTHECA – Journal of Informatics and Librarianship 8(1–2):179–187Google Scholar
  27. [27]
    Kaufmann R, Bollhalder H, Gysi M (2003) Infrared positioning systems to identify the location of animals. In: Werner A, Jarfe A (eds) Joint conference of ECPA-ECPLF, ATB Agrartechnik Bornim / Wageningen Academic Publishers, p 721Google Scholar
  28. [28]
    Kitasuka T, Hisazumi K, Nakanishi T, Fukuda A (2005) Positioning Technique of Wireless LAN Terminals Using RSSI between Terminals. In: Yang LT, Ma J, Takizawa M, Shih TK (eds) Proceedings of the 2005 International Conference on Pervasive Systems and Computing, PSC 2005, Las Vegas, Nevada, June 27–30, 2005, CSREA Press, pp 47–53Google Scholar
  29. [29]
    Krohn A, Beigl M, Hazas M, Gellersen HW (2005) Using fine-grained infrared positioning to support the surface-based activities of mobile users. In: 25th International Conference on Distributed Computing Systems Workshops (ICDCS 2005 Workshops), 6–10 June 2005, Columbus, OH, USA, IEEE Computer Society, pp 463–468Google Scholar
  30. [30]
    Kuipers B (1978) Modeling spatial knowledge. Cognitive Science 2:129–154CrossRefGoogle Scholar
  31. [31]
    Kurata Y, Egenhofer M (2007) The 9+-Intersection for Topological Relations between a Directed Line Segment and a Region. In: Gottfried B (ed) Proceedings of the 1st Workshop on Behaviour Monitoring and Interpretation (BMI’07), CEURS Proceedings, vol 296, pp 62–76Google Scholar
  32. [32]
    Kushki A, Plataniotis KN, Venetsanopoulos AN (2008) Indoor Positioning with Wireless Local Area Networks (WLAN). In: Shekhar S, Xiong H (eds) Encyclopedia of GIS, Springer, pp 566–571Google Scholar
  33. [33]
    Leiser D, Zilbershatz A (1989) The traveler – a computational model for spatial network learning. Environment and Behaviour 21(3):435–463CrossRefGoogle Scholar
  34. [34]
    Leonard JJ, Durrant-Whyte HF (1991) Simultaneous map building and localisation for an autonomous mobile robot. In: Proceedings of IEEE/RSJ International Workshop on Intelligent Robots and Systems, pp 1442–1447Google Scholar
  35. [35]
    Levitt T, Lawton D (1990) Qualitative navigation for mobile robots. Artificial Intelligence 44(6):305–360CrossRefGoogle Scholar
  36. [36]
    Liu H, Darabi H, Banerjee P, Liu J (2007) Survey of wireless indoor positioning techniques and systems. IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews 37(6):1067–1080CrossRefGoogle Scholar
  37. [37]
    Martino-Saltzman D, Blasch B, Morris R, McNeal L (1991) Travel behaviour of nursing home residents perceived as wanderers and nonwanderers. Gerontologist 11:666–672Google Scholar
  38. [38]
    McDermott D, Davis E (1984) Planning routes through uncertain territory. Artificial Intelligence 22(1):551–560Google Scholar
  39. [39]
    Mea VD, Pittaro M, Roberto V (2004) Knowledge management and modelling in health care organizations: The standard operating procedures. In: Wimmer M (ed) Knowledge Management in Electronic Government, 5th IFIP International Working Conference, KMGov 2004, Krems, Austria, May 17–19, 2004, Proceedings, Springer, LNCS, vol 3035, pp 136–146Google Scholar
  40. [40]
    Mennis JL, Peuquet DJ, Qian L (2000) A conceptual framework for incorporating cognitive principles into geographical database recognition. International Journal of Geographical Information Science 14:501–520CrossRefGoogle Scholar
  41. [41]
    Millonig A, Gartner G (2007) Monitoring pedestrian spatio-temporal behaviour. In: Gottfried B (ed) Proceedings of the 1st Workshop on Behaviour Monitoring and Interpretation (BMI’07), CEURS Proceedings, vol 296, pp 29–42Google Scholar
  42. [42]
    Monferrer EMT, Lobo FT (2002) Qualitative Velocity. In: Escrig MT, Toledo F, Golobardes E (eds) CCIA 2002, Springer Berlin Heidelberg, LNAI, vol 2504, pp 29–39Google Scholar
  43. [43]
    Muller P (1998) A qualitative theory of motion based on spatio-temporal primitives. In: Cohn A, Schubert L, Shapiro S (eds) Proceedings of the 6th International Conference on Principles of Knowledge Representation and Reasoning, Morgan Kaufmann, pp 131–141Google Scholar
  44. [44]
    Orr RJ, Abowd GD (2000) The Smart Floor: A Mechanism for Natural User Identification and Tracking. In: Proceedings of the 2000 Conference on Human Factors in Computing Systems (CHI 2000), pp 1–6Google Scholar
  45. [45]
    Peuquet DJ (1994) It’s about time: A conceptual framework for the representation of temporal dynamics in geographic information systems. Annals of the Association of American Geographers 84:441–461CrossRefGoogle Scholar
  46. [46]
    Randell DA, Cui Z, Cohn AG (1992) A spatial logic based on regions and connection. In: Proc 3rd Int. Conf. on Knowledge Representation and Reasoning: Cambridge, Massachusetts, USA, October 25–29, 1992, Morgan Kaufman, San Mateo, pp 165–176Google Scholar
  47. [47]
    Richter KF, Tomko M, Winter S (2008) A Dialog-Driven Process of Generating Route Directions. Computers, Environment and Urban Systems 32(3):26CrossRefGoogle Scholar
  48. [48]
    Satoh I (2007) A location model for smart environments. Pervasive and Mobile Computing 3:158–179CrossRefGoogle Scholar
  49. [49]
    Steinhage A, Lauterbach C (2008) Monitoring movement behaviour by means of a large area proximity sensor array in the floor. In: Gottfried B, Aghajan H (eds) 2nd Workshop on Behaviour Monitoring and Interpretation (BMI’08), vol 396, CEURS Proceedings, pp 15–27Google Scholar
  50. [50]
    Volcic R, Kappers AML (2008) Allocentric and egocentric reference frames in the processing of three-dimensional haptic space. Experimental Brain Research 188:199–213CrossRefGoogle Scholar
  51. [51]
    Weakliam J, Bertolotto M, Wilson DC (2005) Implicit interaction profiling for recommending spatial content. In: Shahabi C, Boucelma O (eds) 13th ACM International Workshop on Geographic Information Systems, ACM-GIS 2005, November 4-5, 2005, Bremen, Germany, Proceedings, ACM, pp 285–294Google Scholar
  52. [52]
    Weinstein R (2005) RFID: a technical overview and its application to the enterprise. IT Professional 7(3):27–33CrossRefGoogle Scholar
  53. [53]
    Winter S (2003) Route Adaptive Selection of Salient Features. In: Kuhn W, Worboys M, Timpf S (eds) Spatial Information Theory: Foundations of Geographic Information Science, Int. Conference COSIT 2003, LNCS, Springer-Verlag, Ittingen, Switzerland, pp 101–117Google Scholar
  54. [54]
    Wood Z, Galton A (2008) Collectives and how they move: A tale of two classifications. In: Gottfried B, Aghajan H (eds) 2nd Workshop on Behaviour Monitoring and Interpretation (BMI’08), CEURS Proceedings, vol 396, pp 57–71Google Scholar

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© Springer Science+Business Media, LLC 2010

Authors and Affiliations

  1. 1.Centre for Computing TechnologiesUniversity of BremenBremenGermany

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