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Issue No.06 - November/December (2009 vol.15)
pp: 1383-1390
Daniel Keefe , University of Minnesota
Marcus Ewert , University of Minnesota
William Ribarsky , University of North Carolina - Charlotte
Remco Chang , University of North Carolina - Charlotte
We present an interactive framework for exploring space-time and form-function relationships in experimentally collected high-resolution biomechanical data sets. These data describe complex 3D motions (e.g. chewing, walking, flying) performed by animals and humans and captured via high-speed imaging technologies, such as biplane fluoroscopy. In analyzing these 3D biomechanical motions, interactive 3D visualizations are important, in particular, for supporting spatial analysis. However, as researchers in information visualization have pointed out, 2D visualizations can also be effective tools for multi-dimensional data analysis, especially for identifying trends over time. Our approach, therefore, combines techniques from both 3D and 2D visualizations. Specifically, it utilizes a multi-view visualization strategy including a small multiples view of motion sequences, a parallel coordinates view, and detailed 3D inspection views. The resulting framework follows an overview first, zoom and filter, then details-on-demand style of analysis, and it explicitly targets a limitation of current tools, namely, supporting analysis and comparison at the level of a collection of motions rather than sequential analysis of a single or small number of motions. Scientific motion collections appropriate for this style of analysis exist in clinical work in orthopedics and physical rehabilitation, in the study of functional morphology within evolutionary biology, and in other contexts. An application is described based on a collaboration with evolutionary biologists studying the mechanics of chewing motions in pigs. Interactive exploration of data describing a collection of more than one hundred experimentally captured pig chewing cycles is described.
Scientific visualization, information visualization, coordinated multiple views, biomechanics
Daniel Keefe, Marcus Ewert, William Ribarsky, Remco Chang, "Interactive Coordinated Multiple-View Visualization of Biomechanical Motion Data", IEEE Transactions on Visualization & Computer Graphics, vol.15, no. 6, pp. 1383-1390, November/December 2009, doi:10.1109/TVCG.2009.152
[1] Brown University. X-ray reconstruction of moving morphology (xromm). M, 2009.
[2] J. Chen, A. S. Forsberg, S. M. Swartz, and D. H. Laidlaw, Interactive multiple scale small multiples. IEEE Visualization 2007 Poster Compendium, 2007.
[3] G. Convertino, J. Chen, B. Yost, Y.-S. Ryu, and C. North, Exploring context switching and cognition in dual-view coordinated visualizations. In CMV '03: Proceedings of the conference on Coordinated and Multiple Views In Exploratory Visualization, page 55, Washington, DC, USA, 2003. IEEE Computer Society.
[4] J. J. Crisco, J. C. Coburn, D. C. Moore, E. Akelman, A.-P. C. Weiss, and S. W. Wolfe, In vivo radiocarpal kinematics and the dart thrower's motion. The Journal of Bone and Joint Surgery, 87: 2729–2740, 2005.
[5] M. Ericson, Infovis keynote address: Visualizing data for the masses: Information graphics at the new york times. ieee transactions on visualization and computer graphics, 13, 2007.
[6] L. M. Gallo, G. B. Airoldi, R. L. Airoldi, and S. Palla, Description of mandibular finite helical axis pathways in asymptomatic subjects. Journal of Dental Research, 72( 2): 704–713, 1997.
[7] H. Hauser, D. Weiskopf, K.-L. Ma, J. J. van Wijk, and R. Kosara, Scivis, infovis bridging the community divide?! In IEEE Visualization (Panel Proceedings), pages 52–55. IEEE CS Press, 2006.
[8] D. F. Keefe, T. M. O'Brien, D. B. Baier, S. M. Gatesy, E. L. Brainerd, and D. H. Laidlaw, Exploratory visualization of animal kinematics using instantaneous helical axes. Computer Graphics Forum (EuroVis Special Issue), 27 (3): 863–870 2008.
[9] H. Lam, A framework of interaction costs in information visualization. IEEE Transactions on Visualization and Computer Graphics, 14 (6): 1149–1156, 2008.
[10] G. Marai, D. Laidlaw, C. Demiralp, S. Andrews, C. Grimm, and J. Crisco, Estimating joint contact areas and ligament lengths from bone kinematics and surfaces. IEEE Transactions on Biomedical Engineering, 51: 790–799, May 2003.
[11] C. North and B. Shneiderman, Snap-together visualization: can users construct and operate coordinated visualizations? International Journal of Human-Computer Studies, 53: 715–739, 2000.
[12] S. Oeltze, H. Doleisch, H. Hauser, P. Muigg, and B. Preim, Interactive visual analysis of perfusion data. IEEE Transactions on Visualization and Computer Graphics, 13 (6): 1392–1399, 2007.
[13] H. Piringer, R. Kosara, and H. Hauser, Interactive focus+context visualization with linked 2d/3d scatterplots. In CMV '04: Proceedings of the Second International Conference on Coordinated & Multiple Views in Exploratory Visualization, pages 49–60, Washington, DC, USA, 2004. IEEE Computer Society.
[14] T.-M. Rhyne, M. Tory, T. Munzner, M. Ward, C. Johnson, and D. H. Laidlaw, Information and scientific visualization: Separate but equal or happy together at last? In IEEE Visualization (Panel Proceedings), pages 611–614. IEEE CS Press, 2003.
[15] J. C. Roberts, State of the art: Coordinated & multiple views in exploratory visualization. In CMV '07: Proceedings of the Fifth International Conference on Coordinated and Multiple Views in Exploratory Visualization, pages 61–71, Washington, DC, USA, 2007. IEEE Computer Society.
[16] G. Robertson, R. Fernandez, D. Fisher, B. Lee, and J. Stasko, Effectiveness of animation in trend visualization. IEEE Transactions on Visualization and Computer Graphics, 14 (6): 1325–1332, 2008.
[17] B. Shneiderman, The eyes have it: A task by data type taxonomy for information visualizations. In VL '96: Proceedings of the 1996 IEEE Symposium on Visual Languages, page 336, Washington, DC, USA, 1996. IEEE Computer Society.
[18] F. Smit, R. van Liere, S. Beck, and B. Froehlich, An image warping architecture for vr: Low latency versus image quality. In Proceedings of IEEE Virtual Reality 2009, pages 27–34, 2009.
[19] M. Tory, S. Potts, and T. Möller, A parallel coordinates style interface for exploratory volume visualization. IEEE Transactions on Visualization and Computer Graphics, 11 (1): 71–80, 2005.
[20] E. R. Tufte, Envisioning Information. Graphics Press, 1990.
[21] S. L. Van Sint Jan, G. J. Clapworthy, and M. Rooze, Visualization of combined motions in human joints. IEEE Computer Graphics and Applications, 18 (6): 10–14, 1998.
[22] B. You, P. Siy, W. Anderst, and S. Tashman, In vivo measurement of 3-D skeletal kinematics from sequences of biplane radiographs: Application to knee kinematics. IEEE Transactions on Medical Imaging, 20 (6): 514–525, 2001.
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