Year: 2021
Type: dissertation
Abstract: Analyzing and detecting emotions from human facial muscle movements is a problem that has been defined and developed for several years because of the benefits it provides.During development, datasets and methods become more and more complex, and the accuracy and difficulty increase.Besides the normal Convolutional Neural Network (CNN), this thesis will implement a Residual CNN to detect human facial emotion based on the input images or camera video.The results of the experiment show that this method is slightly better than other modern methods, which is related to emotion recognition problems for complex images and some reported scientific studies.Because of the scope of the study and the limitation of the hardware, the ensemble methods cannot be implemented which will give a better result.The best result of this experiment on a Residual Convolutional Neural Network is 66.8% on the FER2013 dataset.
Author: Hồng Quang Nguyễn
Language: English
Topic: Emotion and Mood Recognition
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W3173290246