User-dependent Gesture Recognition

User-Dependent Gesture Recognition is a gesture recognition paradigm that belongs to the class of personalized recognition systems, distinguished by its reliance on user-specific training data to model individualized motion patterns and physiological characteristics for improved recognition accuracy.

116

Publications

4.5K

Citations

436

Authors

159

Institutions

Publications per year

2017–2026

61

Variants

Personalized Gesture Recognition

Authors

436

  1. JJ
    Joseph J. LaViola

    University of Central Florida, United States

    4 publications · 163 citations

    4

    h-index

  2. RV
    Radu-Daniel Vatavu

    Ştefan cel Mare University of Suceava, Romania

    3 publications · 328 citations

    3

    h-index

  3. LA
    Lisa Anthony

    University of Florida, United States

    3 publications · 295 citations

    3

    h-index

  4. TH
    Tomasz Hachaj

    Uniwersytet Komisji Edukacji Narodowej w Krakowie, Poland

    2 publications · 45 citations

    2

    h-index

  5. YL
    Yang Li

    Google (United States), United States

    2 publications · 96 citations

    2

    h-index

1–5 of 436

Venues

  1. 6

    h-index

  2. IEEE Access

    4 publications · 123 citations

    4

    h-index

  3. Sensors

    3 publications · 133 citations

    3

    h-index

  4. IEEE Internet of Things Journal

    2 publications · 87 citations

    2

    h-index

  5. IEEE Transactions on Human-Machine Systems

    2 publications · 88 citations

    2

    h-index

1–5