REFIT: Recognize, Fix, and Test Wearable Sensor Placement Shifts without Labels
cs.LG, cs.HC
Submitted: 2026-10-06
Updated: 2026-10-06
Comments: 25 pages, 5 figures, 14 tables. Under review
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Sources
- Leveraging Unlabeled Data to Predict Out-of-Distribution Performance
- Adapting Without Gradients: Affine Statistics Transport and What Its Certificate Can Tell You
- PI-TTA: Physics-Informed Source-Free Test-Time Adaptation for Robust Human Activity Recognition on Mobile Devices
- Towards Stable Test-Time Adaptation in Dynamic Wild World
- Exploring Contrastive Learning in Human Activity Recognition for Healthcare
- Generalizable framework of eating episode detection on free-living wrist-worn wearable data
- Tent: Fully Test-time Adaptation by Entropy Minimization
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