DeepAI AI Chat
Log In Sign Up

Facial Emotion Recognition using Convolutional Neural Networks

10/12/2019
by   Akash Saravanan, et al.
29

Facial expression recognition is a topic of great interest in most fields from artificial intelligence and gaming to marketing and healthcare. The goal of this paper is to classify images of human faces into one of seven basic emotions. A number of different models were experimented with, including decision trees and neural networks before arriving at a final Convolutional Neural Network (CNN) model. CNNs work better for image recognition tasks since they are able to capture spacial features of the inputs due to their large number of filters. The proposed model consists of six convolutional layers, two max pooling layers and two fully connected layers. Upon tuning of the various hyperparameters, this model achieved a final accuracy of 0.60.

READ FULL TEXT

page 3

page 7

01/06/2020

Facial Emotions Recognition using Convolutional Neural Net

Human beings displays their emotions using facial expressions. For human...
07/10/2021

Bayesian Convolutional Neural Networks for Seven Basic Facial Expression Classifications

The seven basic facial expression classifications are a basic way to exp...
09/22/2020

Kernelized dense layers for facial expression recognition

Fully connected layer is an essential component of Convolutional Neural ...
06/19/2022

Hybrid Facial Expression Recognition (FER2013) Model for Real-Time Emotion Classification and Prediction

Facial Expression Recognition is a vital research topic in most fields r...
11/16/2022

Using explainability to design physics-aware CNNs for solving subsurface inverse problems

We present a novel method of using explainability techniques to design p...
04/11/2019

Learning to Take Good Pictures of People with a Robot Photographer

We present a robotic system capable of navigating autonomously by follow...
03/20/2017

Spatio-Temporal Facial Expression Recognition Using Convolutional Neural Networks and Conditional Random Fields

Automated Facial Expression Recognition (FER) has been a challenging tas...