Depth-based Gesture Recognition

Depth-Based Gesture Recognition is a gesture recognition approach that utilizes depth information from three-dimensional sensor data to identify and interpret human gestures, distinguished from other methods by its reliance on spatial depth cues rather than color or intensity alone.

205

Publications

12.6K

Citations

632

Authors

255

Institutions

Publications per year

2017–2026

66

Authors

632

  1. PW
    Pichao Wang

    University of Wollongong, Australia

    6 publications · 394 citations

    6

    h-index

  2. WL
    Wanqing Li

    University of Wollongong, Australia

    5 publications · 375 citations

    5

    h-index

  3. FD
    Fabio Dominio

    University of Padua, Italy

    4 publications · 810 citations

    4

    h-index

  4. PZ
    Pietro Zanuttigh

    University of Padua, Italy

    4 publications · 810 citations

    4

    h-index

  5. PO
    Philip Ogunbona

    University of Wollongong, Australia

    4 publications · 339 citations

    4

    h-index

1–5 of 632

Venues

  1. Sensors

    8 publications · 308 citations

    8

    h-index

  2. Multimedia Tools and Applications

    8 publications · 359 citations

    8

    h-index

  3. Pattern Recognition Letters

    3 publications · 195 citations

    3

    h-index

  4. Procedia Computer Science

    3 publications · 80 citations

    3

    h-index

  5. arXiv (Cornell University)

    Repository · 3 publications · 55 citations

    3

    h-index

1–5