Gesture Recognizers

Gesture Recognizers is a computational framework that identifies and interprets user gestures from input signals by distinguishing spatial, temporal, and kinesthetic patterns within direct manipulation interfaces.

1.3K

Publications

66.8K

Citations

4K

Authors

1.1K

Institutions

Publications per year

2017–2026

511

Authors

4K

  1. RV
    Radu-Daniel Vatavu

    Ştefan cel Mare University of Suceava, Romania

    20 publications · 852 citations

    17

    h-index

  2. TS
    Thad Starner

    Georgia Institute of Technology, United States

    12 publications · 839 citations

    12

    h-index

  3. JJ
    Joseph J. LaViola

    University of Central Florida, United States

    11 publications · 381 citations

    11

    h-index

  4. YL
    Yang Li

    Google (United States), United States

    10 publications · 1.7K citations

    10

    h-index

  5. LA
    Lisa Anthony

    University of Florida, United States

    9 publications · 812 citations

    9

    h-index

1–5 of 4K

Venues

  1. Sensors

    25 publications · 1.3K citations

    21

    h-index

  2. IEEE Sensors Journal

    21 publications · 1.3K citations

    19

    h-index

  3. 18

    h-index

  4. IEEE Access

    16 publications · 936 citations

    16

    h-index

  5. Biomedical Signal Processing and Control

    16 publications · 997 citations

    14

    h-index

1–5