A technique to estimate emotional valence and arousal by analyzing images of human faces


In recent years, countless computer scientists worldwide have been developing deep neural network-based models that can predict people’s emotions based on their facial expressions. Most of the models developed so far, however, merely detect primary emotional states such as anger, happiness and sadness, rather than more subtle aspects of human emotion.





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