Hier finden Sie wissenschaftliche Publikationen aus den Fraunhofer-Instituten.

FuryExplorer: Visual-interactive exploration of horse motion capture data

: Wilhelm, Nils; Vögele, Anna; Zsoldos, Rebeka; Licka, Theresia; Krüger, Björn; Bernard, Jürgen


Kao, David L. (Ed.) ; Society for Imaging Science and Technology -IS&T-; Society of Photo-Optical Instrumentation Engineers -SPIE-, Bellingham/Wash.:
Visualization and Data Analysis 2015 : 9-11 February 2015, San Francisco, California
Bellingham, WA: SPIE, 2015 (Proceedings of SPIE 9397)
ISBN: 9781628414875
Paper 93970F, 15 S.
Conference on Visualization and Data Analysis (VDA) <15, 2015, San Francisco/Calif.>
Annual Symposium Electronic Imaging (EI) <27, 2015, San Francisco/Calif.>
Fraunhofer IGD ()
information visualization; Visual analytics; multivariate time series; time series analysis; cluster analysis; data aggregation; data projection; evaluation; motion tracking; motion capturing; motion estimation

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.