Affect Classification

Affect Classification is a computational method within affective computing that categorizes observed behavioral or physiological signals into discrete emotional states or dimensions based on predefined affective models.

285

Publications

41.6K

Citations

837

Authors

402

Institutions

Publications per year

2017–2026

91

Variants

Affective State Classification

Authors

837

  1. HG
    Hatice Güneş

    University of Cambridge, United Kingdom

    5 publications · 818 citations

    5

    h-index

  2. BW
    Björn W. Schuller

    Imperial College London, United Kingdom

    5 publications · 857 citations

    5

    h-index

  3. TP
    Thierry Pun

    University of Geneva, Switzerland

    4 publications · 5.8K citations

    4

    h-index

  4. RW
    Rosalind W. Picard

    Massachusetts Institute of Technology, United States

    4 publications · 2.6K citations

    4

    h-index

  5. PR
    Peter Robinson

    University of Cambridge, United Kingdom

    3 publications · 176 citations

    3

    h-index

1–5 of 837

Venues

  1. IEEE Transactions on Affective Computing

    TAC · 13 publications · 6.3K citations

    12

    h-index

  2. Behavior Research Methods

    BRM · 5 publications · 1.2K citations

    5

    h-index

  3. Sensors

    5 publications · 189 citations

    5

    h-index

  4. PLoS ONE

    5 publications · 400 citations

    5

    h-index

  5. Expert Systems with Applications

    4 publications · 276 citations

    4

    h-index

1–5