ArticleMultimedia tools and applications2023
Facial emotion recognition based real-time learner engagement detection system in online learning context using deep learning models.
Article in Multimedia tools and applications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.
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Who cites it
18 citing papers in PubMed, 1 synthesis or guideline pooled it.
- A systematic review of the techniques for automatic segmentation of the human upper airway using volumetric images.Medical & biological engineering & computing · 2023Pooled it
- MGCP-FER: Meta Control Genetic Programming (MCGP-FER) based feature extraction and fusion for facial expression recognition.Scientific reports · 2026Article
- A vision-based MobileNet-GRU framework for continuous monitoring of student engagement and emotional states.Scientific reports · 2026Article
- Actor-critic guided CDBN with GAN augmentation for robust facial emotion recognition.MethodsX · 2026Article
- A Lightweight Vision-Based Emotion Sensing Framework for Assistive Healthcare Robotics.Sensors (Basel, Switzerland) · 2026Article
- Facial emotion-based movie recommendation system using optimized compound scaling neural network with polynomial and RBF kernels.Scientific reports · 2026Article
- An Explainable Framework for Mental Health Monitoring Using Lightweight and Privacy-Preserving Federated Facial Emotion Recognition.Sensors (Basel, Switzerland) · 2025Article
- Lightweight Convolutional Neural Network with Efficient Channel Attention Mechanism for Real-Time Facial Emotion Recognition in Embedded Systems.Sensors (Basel, Switzerland) · 2025Article
- A comprehensive deep learning framework for real time emotion detection in online learning using hybrid models.Scientific reports · 2025Article
- Attention guided feature fusion using marine predator algorithm for facial emotion recognition.Scientific reports · 2025Article
- A hybrid deep learning model with feature engineering technique to enhance teacher emotional support on students' engagement for sustainable education.Scientific reports · 2025Article
- Application of Multiple Deep Learning Architectures for Emotion Classification Based on Facial Expressions.Sensors (Basel, Switzerland) · 2025Article
- Article
- An enhanced GhostNet model for emotion recognition: leveraging efficient feature extraction and attention mechanisms.Frontiers in psychology · 2024Article
- Effect of distance education courses held in different environments on emotions of the instructor.PloS one · 2024Article
- Multimodal Emotion Detection via Attention-Based Fusion of Extracted Facial and Speech Features.Sensors (Basel, Switzerland) · 2023Article
- A multimodal facial cues based engagement detection system in e-learning context using deep learning approach.Multimedia tools and applications · 2023Article
- Current status and challenges of artificial intelligence application in managing Children's emotions and attention.Digital healthReview
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The dramatic impact of the COVID-19 pandemic has resulted in the closure of physical classrooms and teaching methods being shifted to the online medium.To make the online learning environment more interactive, just like traditional offline classrooms, it is essential to ensure the proper engagement of students during online learning sessions.This paper proposes a deep learning-based approach using facial emotions to detect the real-time engagement of online learners. This is done by analysing the students' facial expressions to classify their emotions throughout the online learning session. The facial emotion recognition information is used to calculate the engagement index (EI) to predict two engagement states
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.