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- W3213852234 endingPage "1427" @default.
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- W3213852234 abstract "Human emotions are important features in human communication. It is also equally important to recognize and classify emotions using computers, which drives this research to explore in various real world domains. Deep learning techniques are rapidly growing in this era and help in tackling real world problems. In this work, deep neural networks or convolutional neural networks are used to detect human facial emotions. We have proposed a network with the help of ResNet50 to classify the human facial emotions using static images. To train the network FER2013 dataset is used and the proposed model produced significant results compared to existing models." @default.
- W3213852234 created "2021-11-22" @default.
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- W3213852234 date "2021-11-09" @default.
- W3213852234 modified "2023-10-16" @default.
- W3213852234 title "Human Facial Emotion Detection Using Deep Learning" @default.
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- W3213852234 doi "https://doi.org/10.1007/978-981-16-3690-5_136" @default.
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