Multi-physiological signal fusion for objective emotion recognition in educational human–computer interaction

The developed system offers significant advancements in emotion recognition for educational HCI, enabling more accurate and standardized assessments of teacher emotional states. Real-time integration of this technology into educational environments can enhance teacher-student interactions and contribute to improved learning outcomes. Future research can explore the generalizability of this system to diverse populations and educational settings.