LEARNERS' EMOTIONS ESTIMATION USING VIDEO PROCESSING TECHNIQUES FOR OPTIMUM E-LEARNING EXPERIENCE

Autor:	Mohammed Subhi
Jazyk:	angličtina
Rok vydání:	2024
Předmět:	Learning Management System (LMS) E-learning Emotional Recognition System (ERS) Convolutional Neural Network (CNN) Intelligent Recognition System (IRS) Mel-Frequency Cepstral Coefficients (MFCC) Linear Predictive Cepstral Coefficients (LPCC). Electronic computers. Computer science QA75.5-76.95
Zdroj:	Iraqi Journal for Computer Science and Mathematics, Vol 5, Iss 3 (2024)
Druh dokumentu:	article
ISSN:	2958-0544 2788-7421 03143074
DOI:	10.52866/ijcsm.2024.05.03.038
Popis:	Learning management systems (LMSs) have integrated multiple technologies to enhance the elearning experience. One such technology is the emotional recognition system (ERS), which provides tutors with data on learners' emotions, including anger, sadness, happiness, and more. ERS utilizes various data sources like facial expressions, body activities, and brain signals to recognize emotions. This paper provides an overview of the ERS structure and discusses the state-of-the-art technologies in this field. The results indicate that deep learning based ERS using VGG19 for feature extraction over the FER2013 dataset is reliable with a recognition accuracy of 87% using Random Forest Algorithm.
Databáze:	Directory of Open Access Journals
Externí odkaz:	https://doaj.org/article/ae25f03143074caaa482247d9327a3d4 Zobrazit plný text záznamu View record in DOAJ