Motion Smoothing

Motion Smoothing is a computational method in motion capture that reduces noise and irregularities in skeletal or marker-based motion data by applying temporal filters or optimization techniques to produce more natural and continuous motion trajectories.

126

Publications

6.6K

Citations

354

Authors

163

Institutions

Publications per year

2017–2026

23

Authors

354

  1. SK
    Suk‐Ju Kang

    Sogang University, South Korea

    4 publications · 235 citations

    4

    h-index

  2. CJ
    Chao Jia

    The University of Texas at Austin, United States

    3 publications · 58 citations

    3

    h-index

  3. BL
    Brian L. Evans

    The University of Texas at Austin, United States

    3 publications · 58 citations

    3

    h-index

  4. DY
    Dong‐Gon Yoo

    Pohang University of Science and Technology, South Korea

    3 publications · 117 citations

    3

    h-index

  5. JW
    Jue Wang

    Adobe Systems (United States), United States

    3 publications · 479 citations

    3

    h-index

1–5 of 354

Venues

  1. 6

    h-index

  2. Journal of Biomechanics

    4 publications · 282 citations

    4

    h-index

  3. ACM Transactions on Graphics

    TOG · 4 publications · 935 citations

    4

    h-index

  4. Sensors

    3 publications · 59 citations

    3

    h-index

  5. IEEE Transactions on Image Processing

    3 publications · 132 citations

    3

    h-index

1–5