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Topic: "facial-emotion-interpretation"

rijju-das/Student-Engagement

A comprehensive framework for detecting student engagement using per-frame features extracted by OpenFace (Action Units, head pose, gaze, blink metrics) and MediaPipe (facial point landmarks) with both classical ML (XGBoost, SVM, RF etc.) and deep-learning models (ResNet, EfficientNet, etc.).

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ZikunFu/CSCI5730_GroupProj

Analysis of Elicited and Acted Emotional Expressions in PEDFE

Language: Jupyter Notebook - Size: 88.9 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0