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  4. MotionExplorer: Exploratory search in human motion capture data based on hierarchical aggregation
 
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2013
Journal Article
Title

MotionExplorer: Exploratory search in human motion capture data based on hierarchical aggregation

Abstract
We present MotionExplorer, an exploratory search and analysis system for sequences of human motion in large motion capture data collections. This special type of multivariate time series data is relevant in many research fields including medicine, sports and animation. Key tasks in working with motion data include analysis of motion states and transitions, and synthesis of motion vectors by interpolation and combination. In the practice of research and application of human motion data, challenges exist in providing visual summaries and drill-down functionality for handling large motion data collections. We find that this domain can benefit from appropriate visual retrieval and analysis support to handle these tasks in presence of large motion data. To address this need, we developed MotionExplorer together with domain experts as an exploratory search system based on interactive aggregation and visualization of motion states as a basis for data navigation, exploration, and search. Based on an overview-first type visualization, users are able to search for interesting sub-sequences of motion based on a query-by-example metaphor, and explore search results by details on demand. We developed MotionExplorer in close collaboration with the targeted users who are researchers working on human motion synthesis and analysis, including a summative field study. Additionally, we conducted a laboratory design study to substantially improve MotionExplorer towards an intuitive, usable and robust design. MotionExplorer enables the search in human motion capture data with only a few mouse clicks. The researchers unanimously confirm that the system can efficiently support their work.
Author(s)
Bernard, Jürgen
Fraunhofer-Institut für Graphische Datenverarbeitung IGD  
Wilhelm, Nils
Fraunhofer-Institut für Graphische Datenverarbeitung IGD  
Krüger, Björn
Univ. Bonn
May, Thorsten  
Fraunhofer-Institut für Graphische Datenverarbeitung IGD  
Schreck, Tobias
Univ. Konstanz
Kohlhammer, Jörn  orcid-logo
Fraunhofer-Institut für Graphische Datenverarbeitung IGD  
Journal
IEEE transactions on visualization and computer graphics  
Conference
Visual Analytics Science and Technology Conference (VAST) 2013  
DOI
10.1109/TVCG.2013.178
Language
English
Fraunhofer-Institut für Graphische Datenverarbeitung IGD  
Keyword(s)
  • multivariate time series

  • motion capturing

  • exploratory search

  • clustering

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