Supervisor
Muhammad Iqbal
Programme
BSc (Hons) in Computing in IT
Subject
Computer Science
Department
Computer Science
Abstract
This Capstone Project focused on developing an accurate Facial Expression Recognition (FER) model by leveraging deep learning techniques, specifically Convolutional Neural Networks (CNNs). The objective was to explore, design, and implement custom architectures and evaluate their performance against existing work. The process involved several stages, such as data preprocessing, data augmentation, architecture design, hyperparameter tuning, and performance assessment using metrics like accuracy and F1-score while utilizing the FER-2013 dataset for training. The resulting FER model exhibited competitive accuracy levels and generalization capabilities, opening up opportunities for real-time implementation and application across various domains.
Date of Award
Spring 5-2024
Full Publication Date
5-2024
Access Rights
open access
Document Type
Undergraduate Project
Resource Type
bachelor thesis
Recommended Citation
Martins, Danrlei and Diesel, Leonardo, "Developing a Convolutional Neural Network (CNN) Model for Facial Expression Recognition (FER)" (2024). ICT. 49.
https://arc.cct.ie/ict/49