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Instructor emotion recognition from facial expressions in video lectures: current state, challenges, and future directions | Synapse
March 3, 2026
Instructor emotion recognition from facial expressions in video lectures: current state, challenges, and future directions
SP
Sameer Bhimrao Patil
SS
Suresh Shirgave
SP
Snehal Sameer Patil
Key Points
Emotion recognition from facial expressions can enhance student engagement in video lectures, yet challenges remain.
Machine learning techniques are critical for accurately identifying instructors' emotions in real-time sessions.
The analysis discusses current trends and limitations in emotion recognition technology and its applications.
Continued development in artificial intelligence may enable more effective integration of these systems in online education.
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Patil et al. (Tue,) studied this question.
synapsesocial.com/papers/69a75a9dc6e9836116a20ab4
https://doi.org/https://doi.org/10.1007/s11042-026-21251-4