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In this article we introduce the research on finding solutions using a 3D motion capture system for architectural design purpose by sensitizing a physical space and its virtual counterpart for user interaction and human motion input. We separate this use in four major steps to get a deeper understanding about the processes of space perception and space constitution in architectural (design) tasks. With detailed information about the manner of movement and the structured workflow it is possible to get new insights into space interaction. Furthermore spacensing provides a toolbox for users to investigate virtual space conditions as well as it allows to draw out conclusions on space sociological assumptions.

Keywords

Virtual Environment Space Perception Full Body Abstraction Layer Space Syntax 
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. Cyberwalk: 2005, EU STREP Project FP6-511092, http://www.cyberwalk-project.org
  2. Debord, G: 1958, Theory of the derive, International Situationiste #2, pp. 19-23.Google Scholar
  3. Engeli, M: 2005, Noble dollhouses, violent shooter games: Reality, abstraction and shifting perspectives, Altered States: transformations of perception, place, and performance , Planetary Collegium, Liquid Press, University of Plymouth, Plymouth, UK. Retrieved from http://iam.tugraz.at/dollhouse/docs/ASCR2005_Maia_Engeli.pdf.
  4. Förster, HV: 1993, Wissen und Gewissen , Suhrkamp Verlag, Frankfurt am Main.Google Scholar
  5. Fry, B and Reas, C: 2005. Processing 1.0 (BETA). http://www.processing.org.
  6. Guodong, L et al.: 2006b, A System for Analyzing and Indexing Human-Motion Databases,Google Scholar
  7. SI3D 2006: Proceedings of the 2005 ACM SIGMOD international conference on Management of data , Baltimore, Maryland, pp. 924-926.Google Scholar
  8. Guodong, L et al.: 2006a, Human motion estimation from a reduced marker set, SI3D ’06: Proceedings of the 2006 symposium on Interactive 3D graphics and games, pp. 35-42.Google Scholar
  9. Gibson, W: 1984, Neuromancer, Harper Collins, London.Google Scholar
  10. Hirschberg, U et al.: 2006, 3D Motion Tracking in Architecture - Turning Movement into Form - Emerging Uses of a New Technology, Communicating Space(s) 24th eCAADe Conference Proceedings, Volos, Greece, pp. 114-121.Google Scholar
  11. Kaiser, P and Eshkar, S: 2000, Biped - digital projections for the state of Merce Cunningham.Google Scholar
  12. Krämer, S: 2002, Verschwindet der Körper? In: R Maresch and N Werber (eds), Raum Wissen Macht, Suhrkamp Verlag, Frankfurt am Main, pp. 49-68.Google Scholar
  13. Löw, Martina: 2001, Raumsoziologie. Suhrkamp Verlag, Frankfurt am Main.Google Scholar
  14. Maar, K: 2006, Korrespondenzen zwischen Tanz und Architektur. in: Geiger A, Hennecke S, Kempf C (eds), Imaginäre Architekturen, Reimer Verlag, Berlin, pp. 219-235.Google Scholar
  15. Obermaier, K: 2004, Apparition. in: G Stocker and C Schöpf (eds), Timeshift - Ars Electronica 2004. Hatje Cantz Verlag, Ostfildern-Ruit, pp. 314-318.Google Scholar
  16. Thiedecke, U (ed): 2004, Soziologie des Cyberspace - Medien, Strukturen und Semantiken, VS Verlag, Wiesbaden.Google Scholar
  17. Featherstone, M and Burrows, R: 1995, Cyberspace/Cyberbodies/Cyberpunk - Cultures of Technological Embodiment. Sage Publications Ltd., London.Google Scholar
  18. Pashley, H, Hays, JH and Liu, Y.: 2007, 2D Motion Texture, Technical Report CMU-RI-TR-07-09, Robotics Institute, Carnegie Mellon University.Google Scholar

Copyright information

© Springer 2007

Authors and Affiliations

  • Stefan Zedlacher
    • 1
  1. 1.Graz University of TechnologyAustralia

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