Human Motion Analysis

Human Motion Analysis is a systematic computational methodology that distinguishes itself by focusing on the acquisition, representation, and interpretation of human body movements through sensor-derived or vision-based data to enable the understanding of motor behavior, biomechanics, and interaction dynamics in structured and unstructured environments.

3.5K

Publications

209.1K

Citations

10.2K

Authors

2.3K

Institutions

Publications per year

2017–2026

1.3K

Authors

10.2K

  1. JK
    Jessica K. Hodgins

    Carnegie Mellon University, United States

    37 publications · 5.7K citations

    29

    h-index

  2. DK
    Dana Kulić

    University of Waterloo, Canada

    29 publications · 1.5K citations

    20

    h-index

  3. YN
    Yoshihiko Nakamura

    The University of Tokyo, Japan

    29 publications · 1.2K citations

    19

    h-index

  4. CS
    Cristian Sminchisescu

    Romanian Academy, Romania

    17 publications · 5.3K citations

    17

    h-index

  5. MJ
    Michael J. Black

    Max Planck Institute for Intelligent Systems, Germany

    18 publications · 3.4K citations

    16

    h-index

1–5 of 10.2K

Venues

  1. Sensors

    111 publications · 6.6K citations

    38

    h-index

  2. ACM Transactions on Graphics

    TOG · 46 publications · 5.8K citations

    35

    h-index

  3. IEEE Transactions on Pattern Analysis and Machine Intelligence

    TPAMI · 40 publications · 13.4K citations

    30

    h-index

  4. IEEE Sensors Journal

    50 publications · 2K citations

    28

    h-index

  5. arXiv (Cornell University)

    Repository · 63 publications · 2.1K citations

    25

    h-index

1–5