Abstract:
Recognizing facial expressions would help systems detect happiness and sadness like humans. This will help software and AI improve human experiences in various applications. Emotion detection can be used in AI applications to prevent suicides and play mood-based music.
CNN extracts physiological signals and predicts. Scan the person’s image with a camera and compare it to a training dataset to predict their emotions.
The system matches the user’s live emotions with a training dataset of known emotions. Facial expressions, body movement, and speech are used to identify emotions.
Emotional or emotive technology is credited with its development. Internet, algorithms use supervised machine learning algorithms to learn and predict emotions from a large set of annotated data.
Note: Please discuss with our team before submitting this abstract to the college. This Abstract or Synopsis varies based on student project requirements.
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