[D] Real-time Student Attention Detection: ResNet vs Facial Landmarks - Which approach for resource-constrained deployment?

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I have a problem statement where we are supposed to detect the attention level of student in a classroom, basically output whether he is engaged/ confused/ bored, we are trying to find what approach to choose: to basically explain about facial landmarks approach this is what my claude says: Facial landmarks are specific coordinate points (x, y) that map key features on a face. The standard model uses 68 points that outline the jawline, eyebrows, eyes, nose, and mouth. This approach has roots ...