Gesture Feature Extraction

Gesture Feature Extraction is a computational process in gesture recognition that identifies and isolates discriminative spatiotemporal patterns from raw sensor or visual data to represent meaningful motion characteristics for classification.

1.5K

Publications

72.1K

Citations

4.5K

Authors

1.2K

Institutions

Publications per year

2017–2026

800

Authors

4.5K

  1. DJ
    Du Jiang

    Wuhan University of Science and Technology, China

    15 publications · 1.4K citations

    15

    h-index

  2. HL
    Honghai Liu

    University of Portsmouth, United Kingdom

    15 publications · 1.1K citations

    15

    h-index

  3. GL
    Gongfa Li

    Wuhan University of Science and Technology, China

    14 publications · 1.5K citations

    14

    h-index

  4. GJ
    Guozhang Jiang

    Wuhan University of Science and Technology, China

    14 publications · 1.4K citations

    14

    h-index

  5. YS
    Ying Sun

    Wuhan University of Science and Technology, China

    12 publications · 1.2K citations

    12

    h-index

1–5 of 4.5K

Venues

  1. IEEE Access

    35 publications · 2.2K citations

    25

    h-index

  2. Sensors

    31 publications · 1.7K citations

    24

    h-index

  3. IEEE Sensors Journal

    32 publications · 1.7K citations

    24

    h-index

  4. Multimedia Tools and Applications

    33 publications · 1.4K citations

    22

    h-index

  5. Pattern Recognition Letters

    24 publications · 1.5K citations

    22

    h-index

1–5