Facial Expression and Emotion Detection

The use of machines in the public has expanded widely in the most recent decades. These days, machines are utilized as a part of a wide range of businesses. As their introduction with people increment, the communication additionally needs to wind up smoother and more characteristic. Keeping in mind the end goal to accomplish this, machines must be given an ability that let them get it the encompassing condition. Exceptionally, the intentions of a person. At the point when machines are eluded, this term includes computers and robots.

During the development of this work, deep learning techniques have been used over images displaying the following facial emotions: happiness, sadness, anger, surprise, disgust, and fear. In this work, two independent methods proposed for this very task.

·         The first method uses autoencoders to construct a unique representation of each emotion.

·         The second method is an 8-layer convolutional neural network (CNN).

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