TOWARDS VISUAL-BANDWIDTH: GETTING CLOSE TO ONE’S EXPERIMENT DATA

Mark R. Titchener

Abstract

This paper presents a novel general purpose visualisation environment SP OD (Space Odyssey), that has evolved in relation to our research needs involving analysis and measurement of chaos and complexity in time-series data. More specifically our attention has turned to deriving sleep state information from EEG/EOG. SP OD operates largely as an interpreter of formated data files, to display surfaces, static and/or animated line and point graphs, individually or simultaneously in a virtual 3-D viewing space. It comfortably handles surfaces of more than 100,000 vertexes, and combinations of more than 15,000 static and/or animated graphs. User controls allow dynamic changes to viewing angle, lighting and display parameters. SP OD is ideally suited to ‘scoping’ experiment data and results, for visually debugging complex processing algorithms, or simply providing visual insight into complex data sets.

References

  1. Becker, R. A. and Chambers, J. M. (1981). S: A Language and System for Data Analysis. AT&T Bell Laboratories, Murray Hill, NJ, USA.
  2. Char, B., Geddes, K., and Gonnet, G. (1983). The Maple symbolic computation system. 17(3-4):31-42.
  3. Clarke, A. and Kubrick, S. (1968). 2001: A Space Odyssey. MGM, Polaris productions.
  4. Ihaka, R. and Gentleman, R. (1996). R: A language for data analysis and graphics. Journal of Computational and Graphical Statistics, 5(3):299-314.
  5. Kilgard, M. (1995). OpenGL: Let there be light! The X Journal: Computing Technology with the X Window System, 4(3):12.
  6. Kilgard, M. J. (1996). OpenGL: Free OpenGL software. The X Journal: Computing Technology with the X Window System, 5(5):74.
  7. Kochan, S. and Wood, P. (1990). UNIX Shell Programming. pub-HAYDEN, revised edition.
  8. Moler, C. B. (1980). MATLAB user's guide. Technical report, University of New Mexico. Dept. of Computer Science. Describes use of Classic Matlab, the prototype for the expanded professional Matlab from The MathWorks.
  9. Schuster, H. and Just, W. (2005). Deterministic Chaos, an introduction. Wiley-VCH, Berlin, revised edition.
  10. Sleigh, J. W., Steyn-Ross, D. A., Steyn-Ross, M. L., Grant, C., and Ludbrook, G. (2004). Cortical entropy changes with general anaesthesia: theory and experiment. Physiological Measurement, 25, pp 921-934.
  11. Steuer, R., Ebeling, W. B., and Titchener, M. R. (2001). Partition based entropies. In Stochastics and Dynamics, pp 45-61. World scientific.
  12. Titchener, M. R., Gulliver, A., Nicolescu, R., Speidel, U., and Staiger, L. (2005). Deterministic information theory. Fundamenta Informaticae, 64(1-4):443-461.
Download


Paper Citation


in Harvard Style

R. Titchener M. (2006). TOWARDS VISUAL-BANDWIDTH: GETTING CLOSE TO ONE’S EXPERIMENT DATA . In Proceedings of the First International Conference on Computer Graphics Theory and Applications - Volume 1: GRAPP, ISBN 972-8865-39-2, pages 378-383. DOI: 10.5220/0001354003780383


in Bibtex Style

@conference{grapp06,
author={Mark R. Titchener},
title={TOWARDS VISUAL-BANDWIDTH: GETTING CLOSE TO ONE’S EXPERIMENT DATA},
booktitle={Proceedings of the First International Conference on Computer Graphics Theory and Applications - Volume 1: GRAPP,},
year={2006},
pages={378-383},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001354003780383},
isbn={972-8865-39-2},
}


in EndNote Style

TY - CONF
JO - Proceedings of the First International Conference on Computer Graphics Theory and Applications - Volume 1: GRAPP,
TI - TOWARDS VISUAL-BANDWIDTH: GETTING CLOSE TO ONE’S EXPERIMENT DATA
SN - 972-8865-39-2
AU - R. Titchener M.
PY - 2006
SP - 378
EP - 383
DO - 10.5220/0001354003780383