HAExplorer: Understanding Interdependent Biomechanical Motions with Interactive Helical Axes

要旨

The helical axis is a common tool used in biomechanical modeling to parameterize the motion of rigid objects. It encodes an object's rotation around and translation along a unique axis. Visualizations of helical axes have helped to make kinematic data tangible. However, the analysis process often remains tedious, especially if complex motions are examined. We identify multiple key challenges: the absence of interactive tools for the computation and handling of helical axes, visual clutter in axis representations, and a lack of contextualization. We solve these issues by providing the first generalized framework for kinematic analysis with helical axes. Axis sets can be computed on-demand, interactively filtered, and explored in multiple coordinated views. We iteratively developed and evaluated the HAExplorer with active biomechanics researchers. Our results show that the techniques we introduce open up the possibility to analyze non-planar, compound, and interdependent motion data.

著者
Pepe Eulzer
Friedrich-Schiller University of Jena, Jena, Germany
Robert Rockenfeller
University of Koblenz-Landau, Koblenz, Germany
Kai Lawonn
University of Jena, Jena, Germany
論文URL

https://dl.acm.org/doi/abs/10.1145/3491102.3501841

動画

会議: CHI 2022

The ACM CHI Conference on Human Factors in Computing Systems (https://chi2022.acm.org/)

セッション: Immersion and Interaction in Visualization

293
4 件の発表
2022-05-03 01:15:00
2022-05-03 02:30:00