Recognizing Induced Emotions of Movie Audiences From Multimodal Information
Published inIEEE Transactions on Affective Computing
Publication date2019
Keywords
- Affective Computing
- Implicit Tagging
- Emotion Recognition
- Multimodal Learning
- Multimodal Fusion
- Induced and Perceived Emotions
- Aesthetic Highlights
- Physiological and Behavioral Signals
- Crowdsourcing
- Motion pictures
- Emotion recognition
- Feature extraction
- Physiology
- Databases
- Brain modeling
- Analytical models
Citation (ISO format)
MUSZYNSKI, Michal et al. Recognizing Induced Emotions of Movie Audiences From Multimodal Information. In: IEEE Transactions on Affective Computing, 2019. doi: 10.1109/TAFFC.2019.2902091
Main files (1)
Article (Published version)
Identifiers
- PID : unige:114713
- DOI : 10.1109/TAFFC.2019.2902091
Additional URL for this publicationhttps://ieeexplore.ieee.org/document/8653953/
Journal ISSN1949-3045
