Research Article
Facial Sentiment Recognition using artificial intelligence techniques.
@ARTICLE{10.4108/eetcasa.v9i1.3930, author={Vuong Xuan Chi and Phan Cong Vinh}, title={Facial Sentiment Recognition using artificial intelligence techniques.}, journal={EAI Endorsed Transactions on Context-aware Systems and Applications}, volume={9}, number={1}, publisher={EAI}, journal_a={CASA}, year={2023}, month={9}, keywords={Facial Sentiment Recognition, Convolutional artificial neural network, Linear regression, Satisfied prediction}, doi={10.4108/eetcasa.v9i1.3930} }- Vuong Xuan Chi
Phan Cong Vinh
Year: 2023
Facial Sentiment Recognition using artificial intelligence techniques.
CASA
EAI
DOI: 10.4108/eetcasa.v9i1.3930
Abstract
Facial emotion recognition technology is used to analyze and recognize human emotions based on facial expressions. This technology uses deep learning models to classify facial expressions, eyes, eyebrows, mouth, and other facial expressions to determine a person's emotions. The application of facial emotion recognition in the field of education is a potential way to evaluate the level of student absorption after each class period. Using cameras and emotion recognition technology, the system can record and analyze students' facial expressions during class. In this paper, we use the Convolutional Neural Network (CNN) algorithm combined with the linear regression analysis method to build a model to predict students' facial emotions over a period of time camera recorded.
Copyright © 2023 V.X. Chi and P.C. Vinh, licensed to EAI. This is an open access article distributed under the terms of the CC BYNC-SA 4.0, which permits copying, redistributing, remixing, transformation, and building upon the material in any medium so long as the original work is properly cited.
