DocumentCode :
1504965
Title :
Interactive Coordinated Multiple-View Visualization of Biomechanical Motion Data
Author :
Keefe, Daniel F. ; Ewert, Marcus ; Ribarsky, William ; Chang, Remco
Author_Institution :
Dept. of Comput. Sci. & Eng., Univ. of Minnesota, Minneapolis, MN, USA
Volume :
15
Issue :
6
fYear :
2009
Firstpage :
1383
Lastpage :
1390
Abstract :
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.
Keywords :
biology computing; biomechanics; data visualisation; image motion analysis; biomechanical motion data; biplane fluoroscopy; complex 3D motions; high-speed imaging technologies; interactive coordinated multiple-view visualization; multi-dimensional data analysis; spatial analysis; Animals; Bioinformatics; Data analysis; Data visualization; High-resolution imaging; Humans; Legged locomotion; Motion analysis; Sequences; Space technology; Scientific visualization; biomechanics; coordinated multiple views; information visualization; Biomechanics; Bone and Bones; Computational Biology; Computer Graphics; Databases, Factual; Fluoroscopy; Image Processing, Computer-Assisted; Movement;
fLanguage :
English
Journal_Title :
Visualization and Computer Graphics, IEEE Transactions on
Publisher :
ieee
ISSN :
1077-2626
Type :
jour
DOI :
10.1109/TVCG.2009.152
Filename :
5290752
Link To Document :
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