Dynamic Gesture Recognition

Dynamic Gesture Recognition is a gesture recognition approach that identifies temporally varying movements through sequential analysis of posture changes over time, distinguishing itself from static methods by capturing motion trajectories and temporal dynamics.

481

Publications

22.1K

Citations

1.5K

Authors

504

Institutions

Publications per year

2017–2026

248

Authors

1.5K

  1. YC
    Yen-Lun Chen

    Shenzhen Institutes of Advanced Technology, China

    7 publications · 258 citations

    7

    h-index

  2. EM
    Emil M. Petriu

    University of Ottawa, Canada

    7 publications · 229 citations

    7

    h-index

  3. XW
    Xinyu Wu

    Shenzhen Institutes of Advanced Technology, China

    7 publications · 258 citations

    7

    h-index

  4. GL
    Gang Li

    Tsinghua University, China

    6 publications · 341 citations

    6

    h-index

  5. RH
    Rabul Hussain Laskar

    National Institute Of Technology Silchar, India

    6 publications · 241 citations

    6

    h-index

1–5 of 1.5K

Venues

  1. IEEE Access

    19 publications · 1.4K citations

    17

    h-index

  2. Sensors

    17 publications · 794 citations

    16

    h-index

  3. IEEE Sensors Journal

    13 publications · 887 citations

    13

    h-index

  4. Applied Sciences

    8 publications · 192 citations

    8

    h-index

  5. Pattern Recognition

    7 publications · 625 citations

    7

    h-index

1–5