| Autor: |
Mr. Pandarinathan, S. Velan, S. Deepak |
| Rok vydání: |
2023 |
| Předmět: |
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| Zdroj: |
International Journal for Research in Applied Science and Engineering Technology. 11:2225-2229 |
| ISSN: |
2321-9653 |
| DOI: |
10.22214/ijraset.2023.52016 |
| Popis: |
Human emotions are the mental state of feelings and are spontaneous. There is no clear connection between emotions and facial expressions and there is significant variability making facial recognition a challenging research area. Emotion recognition becomes a popular topic of deep learning and provides more application fields in our daily life. The primary idea of our project is to process the input imagesof human facial emotion to train the pre-trained models on datasets. In recent years, Machine Learning (ML) and Neural Networks (NNs) have been used for emotion recognition. In this project, a Convolutional Neural Network (CNN) is used toextract features from images to detect emotions. The numerical result of the algorithm will show a probabilistic result of each labeled class. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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