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University of Bristol
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TraMP-LLaMA not only predicts severity scores but also generates interpretable reports from facial motion cues, bridging a critical gap in facial expression assessment.
Depth accuracy varies dramatically across cameras, with biases ranging from 50 mm to over 1400 mm, highlighting the critical need for informed camera selection in healthcare monitoring.