Vision-based Gesture Recognition

Vision-Based Gesture Recognition is a method within the field of human-computer interaction that uses visual input from cameras and computer vision algorithms to detect, track, and interpret human gestures as meaningful commands or inputs, distinguishing itself from other gesture recognition approaches by relying exclusively on optical sensing modalities rather than wearable sensors or touch-based devices.

683

Publications

33.1K

Citations

2K

Authors

635

Institutions

Publications per year

2017–2026

219

Authors

2K

  1. HL
    Honghai Liu

    University of Portsmouth, United Kingdom

    7 publications · 371 citations

    7

    h-index

  2. DG
    Dipak Ghosh

    Duke University, United States

    7 publications · 206 citations

    7

    h-index

  3. MK
    M. K. Bhuyan

    Indian Institute of Technology Guwahati, India

    7 publications · 366 citations

    7

    h-index

  4. SA
    Samit Ari

    National Institute of Technology Rourkela, India

    7 publications · 272 citations

    7

    h-index

  5. JL
    Jagdish Lal Raheja

    Central Electronics Engineering Research Institute, India

    6 publications · 216 citations

    6

    h-index

1–5 of 2K

Venues

  1. Multimedia Tools and Applications

    9 publications · 536 citations

    9

    h-index

  2. IEEE Access

    8 publications · 300 citations

    8

    h-index

  3. International Journal of Computer Applications

    8 publications · 160 citations

    8

    h-index

  4. Procedia Computer Science

    8 publications · 457 citations

    8

    h-index

  5. Sensors

    8 publications · 239 citations

    7

    h-index

1–5