Facial Emotion Recognition Using Deep Learning

TL;DR

This paper presents a real-time facial emotion recognition system leveraging deep learning, trained on labeled datasets and evaluated on public databases to demonstrate its effectiveness.

Contribution

It introduces a deep learning-based FER model capable of real-time emotion recognition from facial images captured via a laptop camera.

Findings

High accuracy on public datasets

Real-time processing capability

Effective emotion classification

Abstract

We aim to construct a system that captures real-world facial images through the front camera on a laptop. The system is capable of processing/recognizing the captured image and predict a result in real-time. In this system, we exploit the power of deep learning technique to learn a facial emotion recognition (FER) model based on a set of labeled facial images. Finally, experiments are conducted to evaluate our model using largely used public database.