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- W3005108613 abstract "Recognition of emotion using facial information is an interesting field for computer science, medicine, and psychology. Various researches are working with automated facial expression recognition system. Convolutional neural network (CNN) for facial emotion recognition method is basically used to recognize different-different human facial landmarks, geometrical poses, and emotions of faces. Human facial expression gives very important information to understand the emotions of a person for an interpersonal relationship. Since it is a classification problem, so the performance of any classifier is dependent on features extracted from the region of interest of the sample. In this paper, we are going to train the machine to recognize different types of emotions through human facial expressions using the Convolutional Neural Network (CNN). We have used sequential forward selection algorithms and softmax activation function." @default.
- W3005108613 created "2020-02-14" @default.
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- W3005108613 date "2020-01-01" @default.
- W3005108613 modified "2023-09-27" @default.
- W3005108613 title "Emotion Recognition of Facial Expression Using Convolutional Neural Network" @default.
- W3005108613 cites W2103943262 @default.
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- W3005108613 doi "https://doi.org/10.1007/978-3-030-38040-3_41" @default.
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