Computer Science
Study on emotion recognition bias in different regional groups
M. Lukac, G. Zhambulova, et al.
Real-time emotion recognition across cultures is improved by a meta-model that fuses image features, action units, micro- and macro-expressions into a Multi-Cues Emotion Model (MCAM), revealing that regional biases persist and that learning some regional expressions may require forgetting others. This research was conducted by Martin Lukac, Gulnaz Zhambulova, Kamila Abdiyeva, and Michael Lewis.
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