Real Time Classification of Face Expression Recognition


Authors : Dwi Lydia ZA, Samsuryadi, Dian Palupi Rini.

Volume/Issue : Volume 4 - 2019, Issue 6 - June

Google Scholar : https://goo.gl/DF9R4u

Scribd : https://bit.ly/2ZYiTqs

Classification of facial expressions is rapidly becoming an important part of computer systems, and interactions between humans and computers. Because the most expressive way of showing human emotions is through facial expressions. Classification of facial expressions is studied through several aspects related to the face itself. When facial expressions change, then the curves on the face such as eyebrows, nose, lips and mouth will automatically change. This study combines real-time facial expressions classification using the Principal Component Analysis (PCA) and Convolutional Neural Network (CNN) methods. This study showed higher results in 9,5% of previous studies using the CNN method.

Keywords : Classification, Facial Recognition, Image Recognition, Convolutional Neural Network, Principal Component Analysis.

CALL FOR PAPERS


Paper Submission Last Date
30 - September - 2021

Paper Review Notification
In 1-2 Days

Paper Publishing
In 2-3 Days

Never miss an update from Papermashup

Get notified about the latest tutorials and downloads.

Subscribe by Email

Get alerts directly into your inbox after each post and stay updated.
Subscribe
OR

Subscribe by RSS

Add our RSS to your feedreader to get regular updates from us.
Subscribe