STUDENT’S EMOTIONS IDENTIFICATION USING CNN

In modern-day, machine learning is a very flourishing technique which is employed in computer vision, digital image processing, and in many other fields. In neural networks, machine learning concepts are also used while studying convolutional neural networks (CNN) models to spot and making analysis of image and identification of facial expression. This paper presents the system during which students' emotions recognizes from their faces. It includes three steps first is face detection using Haar Cascades techniques second is normalization and the third one is emotion recognition using convolutional neural networks model. and that we analyze seven sorts of facial expressions. Here we get surprising results like detection of face expressions recognition is practicable in teaching, therefore this method helps teachers to vary their teaching methodology by observing students expressions..