Fellner, Dieter ; Klein, Reinhard ; Vögele, Anna ; Bernard, Jürgen (2017)
Approaches and Challenges in the Visual-interactive Comparison of Human Motion Data.
12th International Joint Conference,VISIGRAPP 2017. Porto, Portugal (February 27 – March 1, 2017)
doi: 10.5220/0006127502170224
Konferenzveröffentlichung, Bibliographie
Kurzbeschreibung (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.
| Typ des Eintrags: | Konferenzveröffentlichung |
|---|---|
| Erschienen: | 2017 |
| Autor(en): | Fellner, Dieter ; Klein, Reinhard ; Vögele, Anna ; Bernard, Jürgen |
| Art des Eintrags: | Bibliographie |
| Titel: | Approaches and Challenges in the Visual-interactive Comparison of Human Motion Data |
| Sprache: | Englisch |
| Publikationsjahr: | 2017 |
| Veranstaltungstitel: | 12th International Joint Conference,VISIGRAPP 2017 |
| Veranstaltungsort: | Porto, Portugal |
| Veranstaltungsdatum: | February 27 – March 1, 2017 |
| DOI: | 10.5220/0006127502170224 |
| URL / URN: | https://doi.org/10.5220/0006127502170224 |
| Kurzbeschreibung (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. |
| Freie Schlagworte: | Comparative visualization, Human motion analysis, Human-computer interaction (HCI), Information visualization, Visual analytics, Information retrieval, Data mining, Machine learning |
| Fachbereich(e)/-gebiet(e): | 20 Fachbereich Informatik 20 Fachbereich Informatik > Graphisch-Interaktive Systeme |
| Hinterlegungsdatum: | 13 Nov 2019 14:15 |
| Letzte Änderung: | 04 Feb 2022 12:38 |
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