Motion Data Visualization
Motion Data Visualization is a computational method that transforms quantitative movement data captured from digital choreographic practices into visual representations to facilitate the analysis, interpretation, and communication of kinetic patterns inherent in dance and embodied performance.
62
Publications
2.4K
Citations
220
Authors
103
Institutions
Publications per year
2017–2026
18
Parents
62
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220
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103

Ghent University
Ghent, Belgium
3 h-index
11 publications
179 citations
Northrop Grumman (United States)
Falls Church, United States
2 h-index
2 publications
83 citations
Minneapolis College of Art and Design
Minneapolis, United States
2 h-index
2 publications
34 citations
University of Tsukuba
Tsukuba, Japan
2 h-index
2 publications
76 citations

The University of Sydney
Sydney, Australia
2 h-index
4 publications
90 citations
Universidade Federal do Rio Grande do Sul
Porto Alegre, Brazil
2 h-index
2 publications
38 citations

Monash University
Melbourne, Australia
2 h-index
2 publications
117 citations
University of California, Los Angeles
Los Angeles, United States
2 h-index
5 publications
376 citations
1–8 of 103
TVCG · 5 publications · 316 citations
5
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3 publications · 85 citations
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2 publications · 56 citations
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2 publications · 43 citations
2
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1 publications · 12 citations
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1–5