Motion Capture Based Simulation

Motion Capture Based Simulation is a computational simulation methodology that integrates empirically recorded human motion data, obtained through motion capture systems, to generate and constrain dynamic movement representations within virtual environments, thereby distinguishing itself from other kinematic simulation approaches by its reliance on real-world biomechanical data to drive synthetic motion.

118

Publications

4.5K

Citations

388

Authors

157

Institutions

Publications per year

2017–2026

34

Authors

388

  1. JK
    Jessica K. Hodgins

    Carnegie Mellon University, United States

    5 publications · 443 citations

    5

    h-index

  2. VZ
    Victor Zordan

    University of California, Riverside, United States

    4 publications · 606 citations

    4

    h-index

  3. JL
    Jehee Lee

    Seoul National University, South Korea

    4 publications · 528 citations

    4

    h-index

  4. DB
    Don B. Chaffin

    University of Michigan, United States

    3 publications · 166 citations

    3

    h-index

  5. XW
    Xuguang Wang

    Université Claude Bernard Lyon 1, France

    3 publications · 86 citations

    3

    h-index

1–5 of 388

Venues

  1. ACM Transactions on Graphics

    TOG · 8 publications · 845 citations

    8

    h-index

  2. 6

    h-index

  3. IEEE Transactions on Visualization and Computer Graphics

    TVCG · 3 publications · 92 citations

    3

    h-index

  4. Computer Methods in Biomechanics & Biomedical Engineering

    CMBBE · 2 publications · 25 citations

    2

    h-index

  5. The Visual Computer

    2 publications · 25 citations

    2

    h-index

1–5