Physics-based Motion Capture

Physics-Based Motion Capture is a motion capture methodology that incorporates physical laws and dynamic simulation to generate or refine human or object motion data by enforcing biomechanical and environmental constraints within a computational model.

26

Publications

2.1K

Citations

86

Authors

33

Institutions

Publications per year

2017–2026

13

Authors

86

  1. AH
    Aaron Hertzmann

    University of Toronto, Canada

    3 publications · 467 citations

    3

    h-index

  2. UI
    Umar Iqbal

    University of Bonn, Germany

    3 publications · 280 citations

    3

    h-index

  3. JK
    Jan Kautz

    University College London, United Kingdom

    2 publications · 203 citations

    2

    h-index

  4. JS
    Jiaming Song

    Stanford University, United States

    2 publications · 203 citations

    2

    h-index

  5. AM
    Anna Majkowska

    University of California, Riverside, United States

    2 publications · 272 citations

    2

    h-index

1–5 of 86

Venues

  1. ACM Transactions on Graphics

    TOG · 5 publications · 840 citations

    5

    h-index

  2. The Physics Teacher

    3 publications · 325 citations

    3

    h-index

  3. Engineering Structures

    1 publications · 15 citations

    1

    h-index

  4. Sensors

    1 publications · 17 citations

    1

    h-index

  5. GetMobile Mobile Computing and Communications

    1 publications · 16 citations

    1

    h-index

1–5