
Proceedings Paper
FuryExplorer: visual-interactive exploration of horse motion capture dataFormat | Member Price | Non-Member Price |
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Paper Abstract
The analysis of equine motion has a long tradition in the past of mankind. Equine biomechanics aims at detecting characteristics
of horses indicative of good performance. Especially, veterinary medicine gait analysis plays an important role in
diagnostics and in the emerging research of long-term effects of athletic exercises. More recently, the incorporation of motion
capture technology contributed to an easier and faster analysis, with a trend from mere observation of horses towards
the analysis of multivariate time-oriented data. However, due to the novelty of this topic being raised within an interdisciplinary
context, there is yet a lack of visual-interactive interfaces to facilitate time series data analysis and information
discourse for the veterinary and biomechanics communities. In this design study, we bring visual analytics technology into
the respective domains, which, to our best knowledge, was never approached before. Based on requirements developed in
the domain characterization phase, we present a visual-interactive system for the exploration of horse motion data. The
system provides multiple views which enable domain experts to explore frequent poses and motions, but also to drill down
to interesting subsets, possibly containing unexpected patterns. We show the applicability of the system in two exploratory
use cases, one on the comparison of different gait motions, and one on the analysis of lameness recovery. Finally, we
present the results of a summative user study conducted in the environment of the domain experts. The overall outcome
was a significant improvement in effectiveness and efficiency in the analytical workflow of the domain experts.
Paper Details
Date Published: 8 February 2015
PDF: 15 pages
Proc. SPIE 9397, Visualization and Data Analysis 2015, 93970F (8 February 2015); doi: 10.1117/12.2080001
Published in SPIE Proceedings Vol. 9397:
Visualization and Data Analysis 2015
David L. Kao; Ming C. Hao; Mark A. Livingston; Thomas Wischgoll, Editor(s)
PDF: 15 pages
Proc. SPIE 9397, Visualization and Data Analysis 2015, 93970F (8 February 2015); doi: 10.1117/12.2080001
Show Author Affiliations
Nils Wilhelm, Univ. Bonn (Germany)
Anna Vögele, Univ. Bonn (Germany)
Rebeka Zsoldos, Univ. of Natural Resources and Life Sciences Vienna (Austria)
Anna Vögele, Univ. Bonn (Germany)
Rebeka Zsoldos, Univ. of Natural Resources and Life Sciences Vienna (Austria)
Theresia Licka, Univ. of Veterinary Medicine in Vienna (Austria)
Univ. of Edinburgh (United Kingdom)
Björn Krüger, Univ. Bonn (Germany)
Jürgen Bernard, Fraunhofer Institute for Computer Graphics Research IGD (Germany)
Technical Univ. of Darmstadt (Germany)
Univ. of Edinburgh (United Kingdom)
Björn Krüger, Univ. Bonn (Germany)
Jürgen Bernard, Fraunhofer Institute for Computer Graphics Research IGD (Germany)
Technical Univ. of Darmstadt (Germany)
Published in SPIE Proceedings Vol. 9397:
Visualization and Data Analysis 2015
David L. Kao; Ming C. Hao; Mark A. Livingston; Thomas Wischgoll, Editor(s)
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