Gesture Recognition

Gesture Recognition is a computational process within Humanoid Robotics that identifies and interprets human gestural movements as meaningful input signals, distinguished from other sensory interpretation methods by its reliance on visual or sensor-based analysis of body motion to infer intention or command.

8.3K

Publications

420.8K

Citations

21K

Authors

3.5K

Institutions

Publications per year

2017–2026

3.7K

Authors

21K

  1. HL
    Honghai Liu

    University of Portsmouth, United Kingdom

    43 publications · 2.2K citations

    25

    h-index

  2. RV
    Radu-Daniel Vatavu

    Ştefan cel Mare University of Suceava, Romania

    39 publications · 1.8K citations

    24

    h-index

  3. TS
    Thad Starner

    Georgia Institute of Technology, United States

    25 publications · 2.1K citations

    23

    h-index

  4. SE
    Sérgio Escalera

    Universitat de Barcelona, Spain

    27 publications · 2.6K citations

    22

    h-index

  5. ZJ
    Zhaojie Ju

    University of Portsmouth, United Kingdom

    24 publications · 1.4K citations

    20

    h-index

1–5 of 21K

Venues

  1. Sensors

    170 publications · 8.3K citations

    51

    h-index

  2. IEEE Sensors Journal

    114 publications · 6.6K citations

    45

    h-index

  3. IEEE Access

    126 publications · 6.8K citations

    45

    h-index

  4. Pattern Recognition

    76 publications · 5.7K citations

    40

    h-index

  5. Pattern Recognition Letters

    64 publications · 4.2K citations

    34

    h-index

1–5