Gesture Learning

Gesture Learning is a computational framework that enables a system to acquire, model, and recognize meaningful human gestures through exposure to exemplar movements, distinguishing it from rule-based gesture recognition by its reliance on data-driven adaptation and generalization capabilities.

442

Publications

23.3K

Citations

1.4K

Authors

513

Institutions

Publications per year

2017–2026

238

Authors

1.4K

  1. YF
    Ylva Ferstl

    Trinity College Dublin, Ireland

    6 publications · 415 citations

    6

    h-index

  2. AB
    Aaron Bobick

    Georgia Institute of Technology, United States

    6 publications · 539 citations

    6

    h-index

  3. HJ
    Hugo Jair Escalante

    National Institute of Astrophysics, Optics and Electronics, Mexico

    6 publications · 589 citations

    6

    h-index

  4. FB
    Frédéric Bevilacqua

    Institut de Recherche et Coordination Acoustique Musique, France

    6 publications · 209 citations

    6

    h-index

  5. JW
    Juan Wachs

    Purdue University West Lafayette, United States

    6 publications · 128 citations

    6

    h-index

1–5 of 1.4K

Venues

  1. IEEE Access

    11 publications · 585 citations

    11

    h-index

  2. Sensors

    7 publications · 321 citations

    7

    h-index

  3. arXiv (Cornell University)

    Repository · 6 publications · 665 citations

    6

    h-index

  4. 6

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  5. 6

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1–5