• RENJU RENJITH
• Dr JOBY P P

Facial Expression Recognition is an innovation which utilizes biometric markers to recognize feelings in human faces. All the more unequivocally, this innovation is a supposition investigation device and can naturally distinguish the six fundamental or general articulations.. Facial Expression is one of the significant nonverbal channels through which human feeling state is conveyed, it includes the examination and acknowledgment of facial highlights. Facial Expression Recognition is classified as social biometrics and furthermore relevant in the field of computer vision . The traditional machine learning algorithms produce high accuracies for similar tasks, they lack to detect emotions of faces, or in different poses or environmental conditions. In this paper, a convolutional neural network architecture, VGG16 network , is proposed to address the FER problem by using a dataset. The proposed architecture is used to detect the emotion of the students in the online class using the facial expression .According to the experimental result, the accuracy of architecture was calculated to be as high 96% on a de-facto standard dataset, namely CK+. The experimental result confirmed that proposed neural network architecture is fast enough to be integrated into real -time FER application .

Artificial intelligence, artificial neural networks, Convolutional Neural Network,Facial expression Recognition, Local Binary Pattern

"Emotion detection using facial expression recognition based on VGG16 network", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 7, page no.b934-b938, July-2021, Available :http://www.jetir.org/papers/JETIR2107253.pdf

"Emotion detection using facial expression recognition based on VGG16 network", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 7, page no. ppb934-b938, July-2021, Available at : http://www.jetir.org/papers/JETIR2107253.pdf