Laboratory for Image and Media Understanding,Department of Advanced Information Technology, Kyushu University
Research
Computer Vision
FERL-YOLO: Facial Expression Recognition Model of Learners
To address the limited accuracy of facial expression recognition caused by environmental factors, this study proposes a recognition model for learners. This model incorporates the backbone of YOLO, Haar Cascade, and SENet for better feature extraction. Validated on datasets and reading experiments, FERL-YOLO shows competitive performance, supporting adaptive educational strategies in real-world environments.
International Conferences (Peer-reviewed)
- Tao Sun, Li Chen, Sijie Xiong, Cheng Tang, Gen Li, Atsushi Shimada
FERL-YOLO: Facial Expression Recognition Model of Learners
The 1st International Conference on Learning Evidence and Analytics (ICLEA 2025), 2025.09
BibTeX