Emotion and Mood Recognition
Emotion and Mood Recognition is a research topic within Experimental and Cognitive Psychology. Science Explorer counts 19k research works in it since 1953. 9.8% of them reached the world's top 10% most cited for their field and year.
This cluster of papers focuses on the recognition and analysis of emotions from various modalities such as facial expressions, physiological signals, and speech. It explores the use of deep learning, affective computing, and multimodal data for emotion recognition in applications including human-computer interaction.
- Emotion Recognition
- Multimodal Data
- Facial Expression
- Physiological Signals
- Deep Learning
- Affective Computing
- Speech Emotion
- Feature Extraction
- Database
- Human-Computer Interaction
- Research works
- 19k fractional, since 1953
- In the world top 10%
- 1.9k per year above
- Top-10% rate
- 9.8% share of its works in the world top 10%
- Growth, 2018-21 → 2022-25
- +132% the tick is no change
- Largest producer
China
37% of the 10 largest, 2022-now
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