YOLOv5 Based Student Engagement and Emotional States Detection in E-Classes
The rapid expansion of E-learning environments has highlighted the critical issue of cyberbullying within digital classrooms. This study introduces a novel approach for early detection of cyberbullying by analyzing student engagement and emotional states in real time. Our SER-YOLO model fuses an adv...
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ALife Robotics Corporation Ltd
2025
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| author | Wang S. Shibghatullah A.S. Keoy K.H. Iqbal J. |
| author2 | 58984450100 |
| author_facet | 58984450100 Wang S. Shibghatullah A.S. Keoy K.H. Iqbal J. |
| author_sort | Wang S. |
| building | UNITEN Library |
| collection | Institutional Repository |
| content_provider | Universiti Tenaga Nasional |
| content_source | UNITEN Institutional Repository |
| continent | Asia |
| country | Malaysia |
| description | The rapid expansion of E-learning environments has highlighted the critical issue of cyberbullying within digital classrooms. This study introduces a novel approach for early detection of cyberbullying by analyzing student engagement and emotional states in real time. Our SER-YOLO model fuses an advanced You Only Look Once version 5 (YOLOv5) with a Student Emotion Recognition system, enriched by sophisticated methodological improvements. It features Soft NMS to refine the Non-Maximum Suppression (NMS) process, embeds the Channel Attention (CA) module to augment the network's backbone, and employs Enhanced Intersection over Union (EIOU) for bounding box regression. This method proactively detects changes in student engagement and emotional states, providing an effective mechanism for the early detection and management of cyberbullying in E-learning environments. ? 2022 The Author. |
| format | Article |
| id | my.uniten.dspace-36978 |
| institution | Universiti Tenaga Nasional |
| publishDate | 2025 |
| publisher | ALife Robotics Corporation Ltd |
| record_format | dspace |
| spelling | my.uniten.dspace-369782025-03-03T15:46:17Z YOLOv5 Based Student Engagement and Emotional States Detection in E-Classes Wang S. Shibghatullah A.S. Keoy K.H. Iqbal J. 58984450100 24067964300 14054280900 58563731500 The rapid expansion of E-learning environments has highlighted the critical issue of cyberbullying within digital classrooms. This study introduces a novel approach for early detection of cyberbullying by analyzing student engagement and emotional states in real time. Our SER-YOLO model fuses an advanced You Only Look Once version 5 (YOLOv5) with a Student Emotion Recognition system, enriched by sophisticated methodological improvements. It features Soft NMS to refine the Non-Maximum Suppression (NMS) process, embeds the Channel Attention (CA) module to augment the network's backbone, and employs Enhanced Intersection over Union (EIOU) for bounding box regression. This method proactively detects changes in student engagement and emotional states, providing an effective mechanism for the early detection and management of cyberbullying in E-learning environments. ? 2022 The Author. Final 2025-03-03T07:46:17Z 2025-03-03T07:46:17Z 2024 Article 10.57417/jrnal.10.4_357 2-s2.0-85204723100 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85204723100&doi=10.57417%2fjrnal.10.4_357&partnerID=40&md5=6cf1c2464ba3c661b3d7520fc710405b https://irepository.uniten.edu.my/handle/123456789/36978 10 4 357 361 ALife Robotics Corporation Ltd Scopus |
| spellingShingle | Wang S. Shibghatullah A.S. Keoy K.H. Iqbal J. YOLOv5 Based Student Engagement and Emotional States Detection in E-Classes |
| title | YOLOv5 Based Student Engagement and Emotional States Detection in E-Classes |
| title_full | YOLOv5 Based Student Engagement and Emotional States Detection in E-Classes |
| title_fullStr | YOLOv5 Based Student Engagement and Emotional States Detection in E-Classes |
| title_full_unstemmed | YOLOv5 Based Student Engagement and Emotional States Detection in E-Classes |
| title_short | YOLOv5 Based Student Engagement and Emotional States Detection in E-Classes |
| title_sort | yolov5 based student engagement and emotional states detection in e-classes |
| url_provider | http://dspace.uniten.edu.my/ |