Affective State Annotation

Affective State Annotation is a scholarly contribution that constitutes the systematic labeling of human emotional states within data, distinguished by its role in providing ground-truth affective labels for training and evaluating models in affective computing research.

243

Publications

25.1K

Citations

727

Authors

297

Institutions

Publications per year

2017–2026

106

Authors

727

  1. CB
    Carlos Busso

    The University of Texas at Dallas, United States

    8 publications · 451 citations

    8

    h-index

  2. BW
    Björn W. Schuller

    Imperial College London, United Kingdom

    6 publications · 299 citations

    6

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  3. RC
    Roddy Cowie

    Queen's University Belfast, United Kingdom

    4 publications · 309 citations

    4

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  4. DK
    Dimitrios Kollias

    Queen Mary University of London, United Kingdom

    4 publications · 376 citations

    4

    h-index

  5. GN
    Georgios N. Yannakakis

    IT University of Copenhagen, Denmark

    4 publications · 327 citations

    4

    h-index

1–5 of 727

Venues

  1. IEEE Transactions on Affective Computing

    TAC · 16 publications · 1.1K citations

    14

    h-index

  2. arXiv (Cornell University)

    Repository · 12 publications · 467 citations

    10

    h-index

  3. Multimedia Tools and Applications

    6 publications · 237 citations

    6

    h-index

  4. Behavior Research Methods

    BRM · 6 publications · 1.1K citations

    6

    h-index

  5. Journal on Multimodal User Interfaces

    4 publications · 163 citations

    4

    h-index

1–5