Multimodal Affect Analysis
Multimodal Affect Analysis is a computational framework that integrates and interprets affective cues from multiple modalities—such as facial expressions, vocal prosody, physiological signals, and textual language—to recognize and model human emotions with greater accuracy and robustness than unimodal approaches.
127
Publications
15.1K
Citations
387
Authors
156
Institutions
Publications per year
2017–2026
62
Parents
127
DEAP: A Database for Emotion Analysis ;Using Physiological Signals
Sander Koelstra, Christian Mühl, Mohammad Soleymani et al. · IEEE Transactions on Affective Computing · 2011 · 4.8K citations · Full text
Nursing, Neuroscience, Psychology +17
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156
University of Augsburg
Augsburg, Germany
9 h-index
18 publications
413 citations

Imperial College London
London, United Kingdom
8 h-index
11 publications
2.8K citations
University of Geneva
Geneva, Switzerland
6 h-index
19 publications
10.5K citations
Nanyang Technological University
Singapore, Singapore
6 h-index
7 publications
118 citations
Queen Mary University of London
London, United Kingdom
5 h-index
8 publications
11.5K citations

University of Trento
Trento, Italy
5 h-index
13 publications
1.5K citations
Technical University of Munich
Munich, Germany
4 h-index
5 publications
446 citations
Stanford University
Stanford, United States
4 h-index
7 publications
404 citations
1–8 of 156
TAC · 18 publications · 9K citations
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Repository · 8 publications · 172 citations
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3 publications · 139 citations
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2 publications · 39 citations
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2 publications · 32 citations
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