Dimensional Emotion Recognition

Dimensional Emotion Recognition is a method in affective computing that categorizes emotional states along continuous semantic dimensions—such as valence, arousal, and dominance—rather than as discrete emotion categories.

102

Publications

7.3K

Citations

289

Authors

133

Institutions

Publications per year

2017–2026

50

Authors

289

  1. HG
    Hatice Güneş

    University of Cambridge, United Kingdom

    8 publications · 1.4K citations

    8

    h-index

  2. MA
    Masato Akagi

    Japan Advanced Institute of Science and Technology, Japan

    7 publications · 220 citations

    7

    h-index

  3. MP
    Maja Pantić

    Imperial College London, United Kingdom

    7 publications · 1K citations

    7

    h-index

  4. BW
    Björn W. Schuller

    Imperial College London, United Kingdom

    7 publications · 1.1K citations

    7

    h-index

  5. BT
    Bagus Tris Atmaja

    Sepuluh Nopember Institute of Technology, Indonesia

    5 publications · 166 citations

    5

    h-index

1–5 of 289

Venues

  1. IEEE Transactions on Affective Computing

    TAC · 5 publications · 170 citations

    5

    h-index

  2. IEEE Access

    4 publications · 75 citations

    4

    h-index

  3. arXiv (Cornell University)

    Repository · 4 publications · 127 citations

    4

    h-index

  4. Image and Vision Computing

    2 publications · 467 citations

    2

    h-index

  5. 2

    h-index

1–5