Abstract:

This study proposes a novel method for addressing the problem at hand for detecting facial expressions has been developed. Because of the individuality associated with each human's emotions, facial expression recognition is a fascinating research area. Deep Learning is a cutting-edge area of machine learning that excels in solving picture categorization challenges. With excellent accuracy, feature extraction has been accomplished using Deep Learning techniques, mainly Convolutional Neural Networks (CNN). Each face picture in this study is categorized into one of the seven categories of human emotions using a specifically created convolutional neural network. The model was developed using the data set from the Kaggle Facial Expression Recognition Competition namely FER2013, which contains 35,887 grayscale 48 by 48-pixel images

Description:

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