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Approaches and challenges in the visual-interactive comparison of human motion data

 
: Bernard, Jürgen; Vögele, Anna; Klein, Reinhard; Fellner, Dieter W.

:

Linsen, Lars (Ed.) ; Institute for Systems and Technologies of Information, Control and Communication -INSTICC-, Setubal:
12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, VISIGRAPP 2017. Proceedings. Vol.3 : 8th International Conference on Information Visualization Theory and Applications, February 27-1, 2017, in Porto, Portugal
SciTePress, 2017
ISBN: 978-989-758-228-8
S.217-224
International Joint Conference on Computer Vision and Computer Graphics Theory and Applications (VISIGRAPP) <12, 2017, Porto>
International Conference on Information Visualization Theory and Applications (IVAPP) <8, 2017, Porto>
Englisch
Konferenzbeitrag
Fraunhofer IGD ()
comparative visualization; human motion analysis; Human-computer interaction (HCI); information visualization; Visual analytics; information retrieval; data mining; machine learning; Guiding Theme: Visual Computing as a Service; Research Area: Human computer interaction (HCI)

Abstract
Many analysis goals involving human motion capture (MoCap) data require the comparison of motion patterns. Pioneer works in visual analytics recently recognized visual comparison as substantial for visual-interactive analysis. This work reflects the design space for visual-interactive systems facilitating the visual comparison of human MoCap data, and presents a taxonomy comprising three primary factors, following the general visual analytics process: algorithmic models, visualizations for motion comparison, and back propagation of user feedback. Based on a literature review, relevant visual comparison approaches are discussed. We outline remaining challenges and inspiring works on MoCap data, information visualization, and visual analytics.

: http://publica.fraunhofer.de/dokumente/N-441508.html