CrossHAR: Generalizing Cross-dataset Human Activity Recognition via Hierarchical Self-Supervised Pretraining

Summary

CrossHAR (UbiComp/IMWUT 2024) addresses the cross-dataset generalization problem in wearable HAR: models trained on one dataset (specific device, placement, user population) frequently fail to transfer to unseen target datasets. CrossHAR introduces a hierarchical self-supervised pretraining strategy that explicitly learns domain-invariant features.