Emotion detection within a mobile platform may be used by content
developers to provide a more fulfilling user experience, such as,
updating an interface and/or experience in real-time based on user
emotional feedback. The goal of this project is to create a
facial expression recognition (FER) system that can accurately and
efficiently process depth sensor data from a smartphone in order
to elicit users’ emotional state, specifically the six Ekman
emotions.
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