Gesture Dataset Annotation

Gesture Dataset Annotation is a scholarly contribution that constitutes a systematic process of labeling temporal or spatial gesture data with semantic, kinematic, or categorical information to enable supervised learning and evaluation in gesture recognition research.

57

Publications

2.8K

Citations

222

Authors

102

Institutions

Publications per year

2017–2026

36

Authors

222

  1. VA
    Vassilis Athitsos

    The University of Texas at Arlington, United States

    5 publications · 491 citations

    5

    h-index

  2. IG
    Isabelle Guyon

    Gleason (United States), United States

    3 publications · 308 citations

    3

    h-index

  3. CH
    Catherine Hobaiter

    University of St Andrews, United Kingdom

    2 publications · 58 citations

    2

    h-index

  4. RD
    Randall Davis

    Massachusetts Institute of Technology, United States

    2 publications · 161 citations

    2

    h-index

  5. TT
    Thanh-Hai Tran

    Hanoi University of Science and Technology, Vietnam

    2 publications · 31 citations

    2

    h-index

1–5 of 222

Venues

  1. IEEE Access

    3 publications · 57 citations

    3

    h-index

  2. Neurocomputing

    1 publications · 21 citations

    1

    h-index

  3. arXiv (Cornell University)

    Repository · 1 publications · 35 citations

    1

    h-index

  4. Applied Sciences

    1 publications · 33 citations

    1

    h-index

  5. Arrow@dit (Dublin Institute of Technology)

    Repository · 1 publications · 20 citations

    1

    h-index

1–5