Sign Language Recognition

Sign Language Recognition is a gesture recognition task that specifically involves the automated identification and interpretation of sign language gestures into meaningful linguistic units using computational methods.

1.9K

Publications

93K

Citations

4.7K

Authors

1.2K

Institutions

Publications per year

2017–2026

1K

Authors

4.7K

  1. WZ
    Wengang Zhou

    University of Science and Technology of China, China

    28 publications · 3.3K citations

    24

    h-index

  2. HL
    Houqiang Li

    University of Science and Technology of China, China

    29 publications · 3.5K citations

    24

    h-index

  3. HN
    Hermann Ney

    RWTH Aachen University, Germany

    30 publications · 3.5K citations

    22

    h-index

  4. PV
    P. V. V. Kishore

    Koneru Lakshmaiah Education Foundation, India

    24 publications · 1.3K citations

    20

    h-index

  5. RB
    Richard Bowden

    University of Surrey, United Kingdom

    23 publications · 3.4K citations

    20

    h-index

1–5 of 4.7K

Venues

  1. IEEE Access

    38 publications · 3K citations

    30

    h-index

  2. Sensors

    36 publications · 1.9K citations

    28

    h-index

  3. Multimedia Tools and Applications

    29 publications · 1.6K citations

    22

    h-index

  4. Procedia Computer Science

    25 publications · 1.5K citations

    22

    h-index

  5. Expert Systems with Applications

    23 publications · 2.2K citations

    21

    h-index

1–5