Marker-based Motion Capture

Marker-Based Motion Capture is a motion capture methodology that belongs to the class of optical motion tracking systems and is distinguished by its reliance on discrete, reflective or active markers attached to the subject's body to enable precise identification and tracking of anatomical landmarks during movement.

281

Publications

14.3K

Citations

1.1K

Authors

428

Institutions

Publications per year

2017–2026

130

Authors

1.1K

  1. CT
    Christian Theobalt

    Max Planck Institute for Informatics, Germany

    7 publications · 461 citations

    7

    h-index

  2. MS
    Marjorie Skubic

    University of Missouri, United States

    5 publications · 126 citations

    5

    h-index

  3. EL
    Elise Laende

    Queen's University, Canada

    4 publications · 438 citations

    4

    h-index

  4. HS
    Hans‐Peter Seidel

    Max Planck Institute for Informatics, Germany

    4 publications · 330 citations

    4

    h-index

  5. LN
    Laurie Needham

    University of Bath, United Kingdom

    3 publications · 148 citations

    4

    h-index

1–5 of 1.1K

Venues

  1. Journal of Biomechanics

    18 publications · 2K citations

    18

    h-index

  2. Sensors

    17 publications · 1.3K citations

    17

    h-index

  3. ACM Transactions on Graphics

    TOG · 10 publications · 1K citations

    10

    h-index

  4. PLoS ONE

    8 publications · 449 citations

    9

    h-index

  5. Gait & Posture

    7 publications · 400 citations

    8

    h-index

1–5