Multimodal Gesture Analysis

Multimodal Gesture Analysis is a systematic framework that integrates and analyzes gesture data across multiple communication modalities—such as visual, auditory, and kinesthetic signals—to identify, interpret, and model gestural behavior in relation to speech and contextual cues.

182

Publications

7.2K

Citations

582

Authors

249

Institutions

Publications per year

2017–2026

75

Authors

582

  1. FQ
    Francis Quek

    Virginia Tech, United States

    7 publications · 570 citations

    7

    h-index

  2. GV
    Gualtiero Volpe

    University of Genoa, Italy

    4 publications · 305 citations

    4

    h-index

  3. YY
    Y. Yemez

    Koç University, Türkiye

    4 publications · 156 citations

    4

    h-index

  4. EE
    Engin Erzin

    Koç University, Türkiye

    4 publications · 156 citations

    4

    h-index

  5. AC
    Antonio Camurri

    University of Genoa, Italy

    4 publications · 305 citations

    4

    h-index

1–5 of 582

Venues

  1. IEEE Transactions on Affective Computing

    TAC · 4 publications · 309 citations

    4

    h-index

  2. IEEE Transactions on Multimedia

    3 publications · 59 citations

    3

    h-index

  3. Behavior Research Methods

    BRM · 3 publications · 142 citations

    3

    h-index

  4. Expert Systems with Applications

    3 publications · 87 citations

    3

    h-index

  5. The Journal of the Acoustical Society of America

    JASA · 3 publications · 176 citations

    3

    h-index

1–5