Facial Emotion Recognition

EasyChair Preprint 12736

Abstract

 The technique of determining an individual’s emotional state is done via the Facial Expression Recognition system. This system compares the taken image with a trained dataset stored in the database before displaying the image’s emotional state. With the use of transfer learning and the trained database, the suggested method’s recognition performance will be assessed. When it comes to image preparation, deep learning-based emotion recognition performs better than conventional techniques. The FER-2013 dataset, which consists of face photos of various men and women with expressions like anger, neutral, disgust, fear, happiness, sadness, and surprise, is used to test our suggested approach. In order to identify the essential seven human emotions—anger, disgust, fear, happiness, sorrow, and surprise—we used a variety of deep learning techniques in this study.

Keyphrases: Emotions, FER-2013, deep learning

@booklet{EasyChair:12736,
  author    = {Voonna Sai and Vanaparthy Runith Kumar and Vennapusa Nirosha and Bommena Srinivas and Prof.Sachin Malviya},
  title     = {Facial Emotion Recognition},
  howpublished = {EasyChair Preprint 12736},
  year      = {EasyChair, 2024}}