Skeleton-based Gesture Recognition

Skeleton-Based Gesture Recognition is a method in gesture recognition that identifies and interprets human gestures by analyzing the spatial and temporal dynamics of skeletal joint trajectories extracted from depth or RGB-D sensors.

147

Publications

7.6K

Citations

512

Authors

207

Institutions

Publications per year

2017–2026

78

Authors

512

  1. HW
    Hazem Wannous

    Université de Lille, France

    4 publications · 526 citations

    4

    h-index

  2. SK
    Soo-Hyung Kim

    Chonnam National University, South Korea

    4 publications · 119 citations

    4

    h-index

  3. HY
    Hyung-Jeong Yang

    Chonnam National University, South Korea

    4 publications · 119 citations

    4

    h-index

  4. CM
    Chunyong Ma

    Ocean University of China, China

    3 publications · 130 citations

    3

    h-index

  5. JK
    Janusz Konrad

    Boston University, United States

    3 publications · 207 citations

    3

    h-index

1–5 of 512

Venues

  1. Applied Sciences

    7 publications · 167 citations

    7

    h-index

  2. IEEE Access

    4 publications · 233 citations

    4

    h-index

  3. Sensors

    4 publications · 178 citations

    4

    h-index

  4. IEEE Transactions on Multimedia

    3 publications · 507 citations

    3

    h-index

  5. The Visual Computer

    2 publications · 88 citations

    2

    h-index

1–5