Concepedia

Sequence Modeling For Gestures

Sequence Modeling for Gestures is a computational framework within gesture recognition that specializes in capturing temporal dependencies and structural patterns in sequential sensor or visual data to enable accurate interpretation of dynamic hand or body movements over time.

53

Publications

2.9K

Citations

171

Authors

65

Institutions

Publications per year

2017–2026

16

Parents

Publications

53

Hidden Conditional Random Fields for Gesture Recognition

Sy Bor Wang, Ariadna Quattoni, Louis‐Philippe Morency et al. · 2006 · 449 citations

, , +16

Deep Sign: Hybrid CNN-HMM for Continuous Sign Language Recognition

Oscar Koller, Sepehr Zargaran, Hermann Ney et al. · 2016 · 285 citations

, , +12

A Modified LSTM Model for Continuous Sign Language Recognition Using Leap Motion

Anshul Mittal, Pradeep Kumar, Partha Pratim Roy et al. · IEEE Sensors Journal · 2019 · 241 citations

, , +13

Deep Learning-Based Approach for Sign Language Gesture Recognition With Efficient Hand Gesture Representation

Muneer Al-Hammadi, Ghulam Muhammad, Wadood Abdul et al. · IEEE Access · 2020 · 215 citations · Full text

, , +13

Deep Sign: Enabling Robust Statistical Continuous Sign Language Recognition via Hybrid CNN-HMMs

Oscar Koller, Sepehr Zargaran, Hermann Ney et al. · International Journal of Computer Vision · 2018 · 202 citations · Full text

, , +15

1–5 of 53

Authors

171

  1. HN
    Hermann Ney

    RWTH Aachen University, Germany

    2 publications · 487 citations

    2

    h-index

  2. OK
    Oscar Koller

    RWTH Aachen University, Germany

    2 publications · 487 citations

    2

    h-index

  3. SZ
    Sepehr Zargaran

    RWTH Aachen University, Germany

    2 publications · 487 citations

    2

    h-index

  4. PJ
    Peter J. Kootsookos

    The University of Queensland, Australia

    2 publications · 65 citations

    2

    h-index

  5. RD
    R.I.A. Davis

    The University of Queensland, Australia

    2 publications · 65 citations

    2

    h-index

1–5 of 171

Institutions

65

  1. Institut de Recherche et Coordination Acoustique Musique

    Paris, France

    2 h-index

    3 publications

    83 citations

  2. Clemson University

    Clemson, United States

    2 h-index

    6 publications

    268 citations

  3. University of Bologna

    Bologna, Italy

    2 h-index

    5 publications

    135 citations

  4. University of California San Diego

    San Diego, United States

    2 h-index

    5 publications

    234 citations

  5. Queen Mary University of London

    London, United Kingdom

    2 h-index

    3 publications

    72 citations

  6. Centre National de la Recherche Scientifique

    Paris, France

    2 h-index

    3 publications

    83 citations

  7. The University of Queensland

    Brisbane, Australia

    2 h-index

    8 publications

    260 citations

  8. V.M. Glushkov Institute of Cybernetics

    Kyiv, Ukraine

    1 h-index

    1 publications

    18 citations

1–8 of 65

Venues

  1. IEEE Multimedia

    2 publications · 49 citations

    2

    h-index

  2. International Journal of Computer Vision

    2 publications · 272 citations

    2

    h-index

  3. Pattern Recognition Letters

    2 publications · 83 citations

    2

    h-index

  4. Computer Vision and Image Understanding

    CVIU · 1 publications · 89 citations

    1

    h-index

  5. Artificial Intelligence Review

    1 publications · 39 citations

    1

    h-index

1–5