A gradient-free framework adapts pretrained HAR classifiers to new users via Bayesian prototype updates in prototypical networks, improving F1 scores with 3s calibration data.
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Uncertainty-Aware (Un)Supervised Few-Shot User Adaptation for On-Device Personalized Human Activity Recognition
A gradient-free framework adapts pretrained HAR classifiers to new users via Bayesian prototype updates in prototypical networks, improving F1 scores with 3s calibration data.