Integrating artificial intelligence to assess emotions in learning environments: a systematic literature review

AOR Vistorte, A Deroncele-Acosta, JLM Ayala… - Frontiers in …, 2024 - frontiersin.org
Introduction Artificial Intelligence (AI) is transforming multiple sectors within our society,
including education. In this context, emotions play a fundamental role in the teaching …

Revolutionizing online education: Advanced facial expression recognition for real-time student progress tracking via deep learning model

M Aly - Multimedia Tools and Applications, 2024 - Springer
This paper presents a groundbreaking online educational platform that utilizes facial
expression recognition technology to track the progress of students within the classroom …

EMOTIZER: A Multi-pose Facial Emotion Recognizer Using RGB Camera Sensor on Low-cost Devices

MD Putro, A Priadana, DL Nguyen… - IEEE Sensors …, 2024 - ieeexplore.ieee.org
The challenges posed by practical applications drive the development of facial expression
recognition systems capable of identifying face in multiple positions to support human …

MMSAD—A multi-modal student attentiveness detection in smart education using facial features and landmarks

R Singh, RE - Journal of Ambient Intelligence and Smart …, 2025 - journals.sagepub.com
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(online education or e-learning) is a form of education where the primary mode of instruction …

Temporal–spatial correlation and graph attention-guided network for micro-expression recognition in English learning livestreams

H Zhao, BG Kim, A Slowik, D Pan - Discover Computing, 2024 - Springer
Micro-expressions, fleeting facial movements lasting 1/25 to 1/3 of a second, offer crucial
insights into genuine emotions, particularly valuable in online education settings. The rapid …

Hybrid Grey Wolf Optimizer with Ant Lion Optimization Algorithm based Deep Learning for Face Expression Recognition

P Vishwanath, LH Alzubaidi… - … on Integrated Circuits …, 2024 - ieeexplore.ieee.org
Facial expressions are an important part of recognizing human emotional messages, hence
it has been a focus of pattern recognition research. However, developments in convolutional …

Face Recognition using SIFT and LBPH-based Hybrid Learning Model

HK Bhuyan, R Peddipaga, B Brahma… - 2024 6th …, 2024 - ieeexplore.ieee.org
The face recognition has been focused on object detection from images using various deep
learning and machine learning models. This work proposes a deep learning model using …

[PDF][PDF] FACIAL EXPRESSION ANALYSIS FOR ACADEMIC ENGAGEMENT MONITORING WITH KRIGING GEOMETRY AND REGION PROPOSAL NETWORK DEEP …

CT NOORA, PT SELVAN, SM ANNISA… - Journal of Theoretical …, 2024 - jatit.org
Over the past few years, contemporary educational movements have made it feasible to
apprehend students' facial expressions during erudition to identify learners' poignant status …

Deep Residual Networks Including Transfer Learning for Facial Emotion

A Singh, M Kaur - … of Fifth International Conference on Computing …, 2025 - books.google.com
Facial expression recognition by computer vision is an important task with many possible
uses. To improve the classification effect, we developed and created a lightweight …

Sign Language-to-Emotion-Specific Text Translation: A Review

S Mannepula, M Hrishitha, RR Reddy… - 2024 3rd International …, 2024 - ieeexplore.ieee.org
Communication barriers significantly impact the deaf and mute community, who rely on Sign
Language—a system of visual gestures and facial expressions—to interact. However, the …