Arousal Modeling

Arousal Modeling is a computational framework within affective state detection that characterizes the intensity dimension of emotional experience by quantifying physiological and behavioral activation levels in response to stimuli.

245

Publications

17.9K

Citations

742

Authors

348

Institutions

Publications per year

2017–2026

90

Authors

742

  1. BW
    Björn W. Schuller

    Imperial College London, United Kingdom

    5 publications · 274 citations

    5

    h-index

  2. PA
    P. A. Robinson

    The University of Sydney, Australia

    5 publications · 275 citations

    5

    h-index

  3. RT
    Rose T. Faghih

    University of Houston, United States

    4 publications · 145 citations

    4

    h-index

  4. MS
    Mohammad Soleymani

    University of Geneva, Switzerland

    3 publications · 183 citations

    3

    h-index

  5. MP
    Maja Pantić

    Imperial College London, United Kingdom

    3 publications · 281 citations

    3

    h-index

1–5 of 742

Venues

  1. IEEE Transactions on Affective Computing

    TAC · 8 publications · 247 citations

    8

    h-index

  2. arXiv (Cornell University)

    Repository · 5 publications · 96 citations

    5

    h-index

  3. Psychophysiology

    4 publications · 128 citations

    4

    h-index

  4. Personality and Individual Differences

    4 publications · 221 citations

    4

    h-index

  5. Multimedia Tools and Applications

    4 publications · 128 citations

    4

    h-index

1–5