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

Authors

220

  1. DF
    Daniel F. Keefe

    University of Minnesota, United States

    4 publications · 111 citations

    4

    h-index

  2. AM
    Arin M. Ellingson

    University of Minnesota, United States

    2 publications · 34 citations

    2

    h-index

  3. MA
    Md. Abdur Rahman

    King Saud University, Saudi Arabia

    2 publications · 37 citations

    2

    h-index

  4. FK
    Fedor Korsakov

    Minneapolis College of Art and Design, United States

    2 publications · 34 citations

    2

    h-index

  5. AD
    Augusto Dias Pereira dos Santos

    The University of Sydney, Australia

    2 publications · 45 citations

    2

    h-index

1–5 of 220

Venues

  1. IEEE Transactions on Visualization and Computer Graphics

    TVCG · 5 publications · 316 citations

    5

    h-index

  2. Computer Graphics Forum

    3 publications · 85 citations

    3

    h-index

  3. Sensors

    2 publications · 56 citations

    2

    h-index

  4. The Journal of Supercomputing

    2 publications · 43 citations

    2

    h-index

  5. Int. J. Comput. Sci. Sport

    1 publications · 12 citations

    1

    h-index

1–5