Facial emotion recognition is very difficult for undergraduate graduation project.
Generally speaking, it’s quite big. It depends on how far you want to achieve it. It’s a good idea. It depends on your personal situation. Emotion recognition originally refers to an individual's recognition of the emotions of others. Now it mostly refers to AI's automatic identification of an individual's emotional state by acquiring an individual's physiological or non-physiological signals. It is an important component of emotional computing.
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The content of emotion recognition research includes facial expressions, voice, heart rate, behavior, text and physiological signal recognition, etc. The user's emotional state is judged through the above content.
Emotion is a state that combines people's feelings, thoughts and behaviors, and plays an important role in communication between people. Emotion is a state that integrates people's feelings, thoughts and behaviors. It includes people's psychological reactions to external or self-stimulation, including the physiological reactions that accompany this psychological reaction. In people's daily work and life, emotions play a role everywhere.