Data-driven Choreography
Data-Driven Choreography is a computational method for generating movement sequences in performance art that uses empirical sensor data as the primary input to algorithmically structure choreographic decisions.
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Publications
83
Citations
21
Authors
5
Institutions
Publications per year
2017–2026
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4
Generative Choreography using Deep Learning
Luka Crnkovic-Friis, Louise Crnkovic-Friis · arXiv (Cornell University) · 2016 · 41 citations · Full text
Arts, Performing Arts, Choreography +16
Mcity Data Collection for Automated Vehicles Study
Yiqun Dong, Yuanxin Zhong, Wenbo Yu et al. · arXiv (Cornell University) · 2019 · 13 citations · Full text
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University of Stuttgart
Stuttgart, Germany
1 h-index
4 publications
60 citations

California State University, Long Beach
Long Beach, United States
1 h-index
1 publications
14 citations
University of Michigan
Ann Arbor, United States
1 h-index
1 publications
13 citations

Ghent University
Ghent, Belgium
1 h-index
5 publications
70 citations
The Ohio State University
Columbus, United States
1 h-index
1 publications
14 citations
National Technical University of Athens
Athens, Greece
1 publications
11 citations
University of West Attica
Athens, Greece
1 publications
11 citations
1–7 of 5
Repository · 2 publications · 54 citations
2
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1 publications · 14 citations
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CSRD · 1 publications · 15 citations
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1 publications · 11 citations
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