Emotion Corpus Development

Emotion Corpus Development is the systematic process of designing, collecting, annotating, and curating multimodal data that captures emotional expressions, distinguished by its focus on establishing standardized, contextually rich, and reliably labeled datasets for training and evaluating affective computing models.

142

Publications

10.2K

Citations

523

Authors

205

Institutions

Publications per year

2017–2026

68

Authors

523

  1. FR
    Fuji Ren

    Tokushima University, Japan

    5 publications · 338 citations

    5

    h-index

  2. NC
    Nick Campbell

    Trinity College Dublin, Ireland

    4 publications · 654 citations

    4

    h-index

  3. BV
    Brian Vaughan

    California Institute of Technology, United States

    4 publications · 52 citations

    4

    h-index

  4. CB
    Carlos Busso

    The University of Texas at Dallas, United States

    3 publications · 406 citations

    3

    h-index

  5. CH
    Chu‐Ren Huang

    Hong Kong Polytechnic University, Hong Kong SAR China

    3 publications · 80 citations

    3

    h-index

1–5 of 523

Venues

  1. IEEE Transactions on Affective Computing

    TAC · 7 publications · 818 citations

    7

    h-index

  2. arXiv (Cornell University)

    Repository · 6 publications · 295 citations

    6

    h-index

  3. Language Resources and Evaluation

    5 publications · 171 citations

    5

    h-index

  4. IEEE Access

    4 publications · 144 citations

    4

    h-index

  5. Behavior Research Methods

    BRM · 3 publications · 115 citations

    3

    h-index

1–5