Motion Data Cleanup

Motion Data Cleanup is a post-processing methodology in motion capture performance that refines raw motion data by identifying and correcting errors, noise, and artifacts to produce accurate, consistent, and usable skeletal trajectories for animation or analysis.

9

Publications

527

Citations

35

Authors

15

Institutions

Publications per year

2017–2026

6

Variants

Motion Data Cleaning

Authors

35

  1. LK
    Lucas Kovar

    University of Wisconsin–Madison, United States

    2 publications · 219 citations

    2

    h-index

  2. MG
    Michael Gleicher

    University of Wisconsin–Madison, United States

    2 publications · 219 citations

    2

    h-index

  3. HZ
    Haisheng Zhu

    Hefei University of Technology, China

    1 publications · 24 citations

    1

    h-index

  4. HP
    Haoyu Peng

    Zhejiang Gongshang University, China

    1 publications · 34 citations

    1

    h-index

  5. WZ
    Wenyan Zhang

    Chongqing University, China

    1 publications · 34 citations

    1

    h-index

1–5 of 35

Venues

  1. 1

    h-index

  2. IEEE Sensors Journal

    1 publications · 34 citations

    1

    h-index

  3. IEEE Access

    1 publications · 24 citations

    1

    h-index

  4. Computer Graphics Forum

    1 publications · 33 citations

    1

    h-index

  5. Computer Methods and Programs in Biomedicine

    1 publications · 52 citations

    1

    h-index

1–5