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 language | English |
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Title of host publication | VISIGRAPP 2017 - Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications |
Publisher | SciTePress |
Pages | 217-224 |
Number of pages | 8 |
Volume | 3 |
ISBN (Print) | 978-989-758-228-8 |
DOIs | |
Publication status | Published - 2017 |
Event | 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications: VISAPP 2017 - Porto, Portugal Duration: 27 Feb 2017 → 1 Mar 2017 Conference number: 12 http://www.grapp.visigrapp.org/?y=2017 |
Conference
Conference | 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications |
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Abbreviated title | VISIGRAPP |
Country/Territory | Portugal |
City | Porto |
Period | 27/02/17 → 1/03/17 |
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