Domain Generalization for Smartphone-Based Human Activity Recognition: A Systematic Analysis of Components and Interactions
This work presents a large-scale controlled benchmark of DG for smartphone-based HAR, comprising more than 410,000 experiments across four model architectures, thirteen training objectives, five initialization strategies, four architectural configurations, and two shift scenarios: cross-dataset and cross-position.
O. Napoli, Edson Borin
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