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We propose a system to recognize different emotional states such as Surprise, Smile, Sad, Anger, Fear, Disgust based on facial expression. Basically, emotion is categorized as a positive and negative emotion. Different types of emotion recognition are face detection, extraction, Classification. Even though there is lots of research using static images, the research is still going on for future development. The computation would have less memory usage as compared to previous methods. There are various studies carried out on feature extraction on the available dataset. This model focuses on recognizing facial expressions. Facial expression is one of the most powerful medium of nonverbal communication. Our goal is to extract features used for facial expression recognition systems in real-time. The method for automatically recognizing facial expressions using Convolutional Neural Network (CNN).

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How to Cite
Mr. Omkar Sanjay Ranjane, Mr.Amol Ravikant Shetye, and Mr.Nayan Ashok Sangare, “FACIAL EXPRESSION AND EMOTION RECOGNITION”, IEJRD - International Multidisciplinary Journal, vol. 5, no. 5, p. 4, Jun. 2020.


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