Published Paper Details:

Facial expression plays a serious role in every aspect of human life for communication. It has been a boon for the research in facial emotion with the systems that produce to the terminology of human-computer interaction in real world . Humans socially interact with each other via emotions. In this research paper, we've proposed an approach of building a system that recognizes facial emotion employing a Convolutional Neural Network (CNN) which is one among the foremost popular Neural Network available. It is said to be a pattern recognition Neural Network. Convolutional Neural Network reduces the dimension for giant resolution images and not losing the standard and giving a prediction output what's expected and capturing of the facial expressions even in odd angles makes it stand different from other models also i.e. it works well for non-frontal images. But unfortunately, CNN based detector is computationally heavy and may be a challenge for using CNN for a video as an input. We will implement a facial emotion recognition system employing a Convolutional Neural Network employing a dataset. Our system will predict the output supported the input given thereto . This system can be useful for sentimental analysis, can be used for clinical practices, can be useful for getting a person's review on a certain product, and lots of more.