Automated student review system from facial expression with computer vision and deep learning

Date
2021
Research Supervisor
Editor
Journal Title
Volume
Issue
Journal Title
Journal ISSN
Volume Title
Abstract
Detecting Emotion from a face is nowadays a very popular topic and computer vision researchers are continuously working on perfecting this challenging task. Facial emotion are widely used in applications like Snapchat, Face apps, Cameras etc. to predict emotion on faces to detect smiles and many more. The task is very challenging as the facial features of a person highly varies from one to another. As Convolutional Neural Networks are capable of detecting such complicated features So, the idea of deep learning has been used to tackle solve this problem. And the results of training the images with such models are significantly better than the state-of-the-art methods like manually extracting features, dimensionality reduction algorithm etc. With the use of transfer learning the training can be more optimized and the training time can be substantially improved.
Description
Keywords
Citation
Department Name
Electrical and Computer Engineering
Publisher
North South University
Printed Thesis
DOI
ISSN
ISBN