Approaches and Challenges in the Visual-interactive Comparison of Human Motion Data

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

Research output: Chapter in Book/Report/Conference proceedingConference paperpeer-review

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.
Original languageEnglish
Title of host publicationVISIGRAPP 2017 - Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications
PublisherSciTePress
Pages217-224
Number of pages8
Volume3
ISBN (Print) 978-989-758-228-8
DOIs
Publication statusPublished - 2017
Event12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications: VISAPP 2017 - Porto, Portugal
Duration: 27 Feb 20171 Mar 2017
Conference number: 12
http://www.grapp.visigrapp.org/?y=2017

Conference

Conference12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications
Abbreviated titleVISIGRAPP
Country/TerritoryPortugal
CityPorto
Period27/02/171/03/17
Internet address

Keywords

  • Guiding Theme: Visual Computing as a Service, Research Area: Human computer interaction (HCI), Comparative visualization, Human motion analysis, Human-computer interaction (HCI), Information visualization, Visual analytics, Information retrieval, Data mining, Machine learning

Fields of Expertise

  • Information, Communication & Computing

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