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A multimodal facial cues based engagement detection system in e-learning context using deep learning approach
15 references·0 citing·47 second hop
A multimodal facial cues based engagement detection system in e-learning context using deep learning approach (2023)A multimodal facial cues based engagement…Facial emotion recognition based real-time learner engagement detection system in online learning context using deep learning models (2022)Facial emotion recognition ba…Students’ emotion extraction and visualization for engagement detection in online learning (2021)Students’ emotion extraction …Online college English education in Wuhan against the COVID-19 pandemic: Student and teacher readiness, challenges and implications (2021)Online college English educat…Deep learning-based facial emotion recognition for human–computer interaction applications (2021)Deep learning-based facial em…A Technology Acceptance Model-Based Analytics for Online Mobile Games Using Machine Learning Techniques (2021)A Technology Acceptance Model…Teaching and learning of postgraduate medical physics using Internet-based e-learning during the COVID-19 pandemic – A case study from Malaysia (2020)Teaching and learning of post…Enhanced deep learning algorithm development to detect pain intensity from facial expression images (2020)Enhanced deep learning algori…Automatic Recognition of Student Engagement Using Deep Learning and Facial Expression (2020)Automatic Recognition of Stud…Students’ affective content analysis in smart classroom environment using deep learning techniques (2019)Students’ affective content a…Occlusion Aware Facial Expression Recognition Using CNN With Attention Mechanism (2018)Occlusion Aware Facial Expres…Reliable Crowdsourcing and Deep Locality-Preserving Learning for Expression Recognition in the Wild (2017)Reliable Crowdsourcing and De…Predicting student engagement in classrooms using facial behavioral cues (2017)Predicting student engagement…Deep Learning Approaches for Facial Emotion Recognition: A Case Study on FER-2013 (2017)Deep Learning Approaches for …Student Emotion Recognition System (SERS) for e-learning Improvement Based on Learner Concentration Metric (2016)Student Emotion Recognition S…EmotioNet: An Accurate, Real-Time Algorithm for the Automatic Annotation of a Million Facial Expressions in the Wild (2016)EmotioNet: An Accurate, Real-…The Extended Cohn-Kanade Dataset (CK+): A complete dataset for action unit and emotion-specified expression (2010)Collecting Large, Richly Annotated Facial-Expression Databases from Movies (2012)DISFA: A Spontaneous Facial Action Intensity Database (2013)Facial Expression Recognition with Inconsistently Annotated Datasets (2018)Context-Aware Emotion Recognition Networks (2019)A systematic review on affective computing: emotion models, databases, and recent advances (2022)The Cognitive Structure of Emotions (1988)The cognitive structure of emotions (1989)Motivation and action (2008)Facial Emotion Recognition of Students using Convolutional Neural Network (2019)Automatic recognition of student emotions from facial expressions during a lecture (2020)Understanding Education Difficulty During COVID-19 Lockdown: Reports on Malaysian University Students’ Experience (2020)Facial Action Coding System (1978)A Survey of Affect Recognition Methods: Audio, Visual, and Spontaneous Expressions (2008)Region Attention Networks for Pose and Occlusion Robust Facial Expression Recognition (2020)Suppressing Uncertainties for Large-Scale Facial Expression Recognition (2020)Basic Emotions (1999)Going deeper in facial expression recognition using deep neural networks (2016)Deep-Emotion: Facial Expression Recognition Using Attentional Convolutional Network (2021)Facial Emotion Recognition: State of the Art Performance on FER2013 (2021)Four-layer ConvNet to facial emotion recognition with minimal epochs and the significance of data diversity (2022)AffectNet: A Database for Facial Expression, Valence, and Arousal Computing in the Wild (2017)Learning Deep Global Multi-Scale and Local Attention Features for Facial Expression Recognition in the Wild (2021)Joint Fine-Tuning in Deep Neural Networks for Facial Expression Recognition (2015)Deep facial spatiotemporal network for engagement prediction in online learning (2021)Revolutionizing online education: Advanced facial expression recognition for real-time student progress tracking via deep learning model (2024)Automatically Detecting Pain in Video Through Facial Action Units (2010)Painful data: The UNBC-McMaster shoulder pain expression archive database (2011)Deep Pain: Exploiting Long Short-Term Memory Networks for Facial Expression Classification (2017)Ensemble neural network approach detecting pain intensity from facial expressions (2020)Automatic assessment of pain based on deep learning methods: A systematic review (2023)Using AI to Detect Pain through Facial Expressions: A Review (2023)The revised two‐factor Study Process Questionnaire: R‐SPQ‐2F (2001)Examination of University Students' Attitudes towards E-learning during the COVID-19 Pandemic Process and the Relationship of Digital Citizenship (2020)Psychological effects of the COVID-19 outbreak and lockdown among students and workers of a Spanish university (2020)The psychological impact of the COVID-19 epidemic on college students in China (2020)An integrated multi-criteria decision making approach with linguistic hesitant fuzzy sets for E-learning website evaluation and selection (2021)Indian government E-learning initiatives in response to COVID-19 crisis: A case study on online learning in Indian higher education system (2021)The James-Lange Theory of Emotions: A Critical Examination and an Alternative Theory (1927)An argument for basic emotions (1992)Facial expression recognition with Convolutional Neural Networks: Coping with few data and the training sample order (2016)Automated emotion recognition: Current trends and future perspectives (2022)Deep learning-based multimodal emotion recognition from audio, visual, and text modalities: A systematic review of recent advancements and future prospects (2023)Covid-19 pandemic and online learning: the challenges and opportunities (2020)Online teaching-learning in higher education during lockdown period of COVID-19 pandemic (2020)Identifying emotions from facial expressions using a deep convolutional neural network-based approach (2023)Multimodal Emotion Detection via Attention-Based Fusion of Extracted Facial and Speech Features (2023)
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References

  • 2017Reliable Crowdsourcing and Deep Locality-Preserving Learning for Expression Recognition in the Wild1,467 cited
  • 2018Occlusion Aware Facial Expression Recognition Using CNN With Attention Mechanism914 cited
  • 2016EmotioNet: An Accurate, Real-Time Algorithm for the Automatic Annotation of a Million Facial Expressions in the Wild613 cited
  • 2021Deep learning-based facial emotion recognition for human–computer interaction applications417 cited
  • 2020Teaching and learning of postgraduate medical physics using Internet-based e-learning during the COVID-19 pandemic – A case study from Malaysia300 cited
  • 2022Facial emotion recognition based real-time learner engagement detection system in online learning context using deep learning models232 cited
  • 2017Deep Learning Approaches for Facial Emotion Recognition: A Case Study on FER-2013194 cited
  • 2016Student Emotion Recognition System (SERS) for e-learning Improvement Based on Learner Concentration Metric166 cited
  • 2020Enhanced deep learning algorithm development to detect pain intensity from facial expression images162 cited
  • 2020Automatic Recognition of Student Engagement Using Deep Learning and Facial Expression138 cited
  • 2017Predicting student engagement in classrooms using facial behavioral cues113 cited
  • 2019Students’ affective content analysis in smart classroom environment using deep learning techniques88 cited
  • 2021Online college English education in Wuhan against the COVID-19 pandemic: Student and teacher readiness, challenges and implications

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85 cited
  • 2021Students’ emotion extraction and visualization for engagement detection in online learning75 cited
  • 2021A Technology Acceptance Model-Based Analytics for Online Mobile Games Using Machine Learning Techniques44 cited
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