Motion Capture Data Representation

Motion Capture Data Representation is a formal method for encoding and structuring raw motion capture data into a standardized format that preserves spatiotemporal kinematic properties while enabling efficient processing, analysis, and synthesis within computational systems.

180

Publications

11.2K

Citations

471

Authors

182

Institutions

Publications per year

2017–2026

50

Authors

471

  1. ZP
    Zoran Popović

    University of Washington, United States

    6 publications · 737 citations

    6

    h-index

  2. LC
    Lap‐Pui Chau

    Nanyang Technological University, Singapore

    6 publications · 137 citations

    6

    h-index

  3. JH
    Junhui Hou

    City University of Hong Kong, Hong Kong SAR China

    5 publications · 124 citations

    5

    h-index

  4. JK
    Jessica K. Hodgins

    Carnegie Mellon University, United States

    5 publications · 235 citations

    5

    h-index

  5. NM
    Nadia Magnenat‐Thalmann

    University of Geneva, Switzerland

    5 publications · 152 citations

    5

    h-index

1–5 of 471

Venues

  1. ACM Transactions on Graphics

    TOG · 10 publications · 2.2K citations

    10

    h-index

  2. IEEE Transactions on Visualization and Computer Graphics

    TVCG · 5 publications · 195 citations

    5

    h-index

  3. Computer Graphics Forum

    4 publications · 216 citations

    4

    h-index

  4. arXiv (Cornell University)

    Repository · 3 publications · 65 citations

    3

    h-index

  5. Computer animation and simulation

    2 publications · 143 citations

    2

    h-index

1–5