r/MachineLearning
[D] Real-time Student Attention Detection:...
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 in
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2 comments
This is a really insightful piece. The data backs up what I've been seeing in the industry.
Agreed. Would love to see a follow-up with more recent numbers.
I'm not sure the conclusion holds for smaller teams. Would be interesting to see this broken down by company size.