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A Survey on Multimodal Emotion Recognition

Authors: A. Metallinou, A. Katsamanis, S. Narayanan
Year: 2013
Summary: This survey covers techniques for recognizing human emotions from multiple modalities, including speech, facial expressions, and gestures. It discusses feature extraction, fusion methods (how to combine information from different modes), and classification algorithms. It underscores the principle that multimodal systems are generally more robust and accurate than single-modal systems.
Link: https://ieeexplore.ieee.org/document/6491197