GitHub - bit-baker/Affective-State-Analysis: A multi-view user engagement recognition prototype classifying engagement levels of 4. Developed Convolution Neural Network extending VGG-16 with effective weights on DAiSEE dataset with an accuracy of 87%.  Enhanced stability with micro and macro expressions of users from an unstructured e-learning environment.

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A multi-view user engagement recognition prototype classifying engagement levels of 4. Developed Convolution Neural Network extending VGG-16 with effective weights on DAiSEE dataset with an accuracy of 87%.  Enhanced stability with micro and macro expressions of users from an unstructured e-learning environment.

image-classification user-engagement daisee