Real Time Facial Emotion Recognition Using CNN
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Abstract
Facial emotion is the key to communication, keeping this thought in mind we demonstrated “Facial Emotion Recognition Using CNN”. This plays an important role in identifying human intentions for different situations. It is highly used in social media platforms and forensics. Convolutional Neural Network popularly known as CNN is a deep learning technique that has been used to build our model. Using the FER2013 dataset, we perform preprocessing of data which is then provided as an input to the CNN, so that the resulting prediction of emotions is accurate. Additionally, we showcase a mobile application that runs our FER model on-device in real-time
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