Compact feature selection improves wearable activity transfer across datasets
A study combining source relevance with unlabeled cross-dataset stability selected 48 wearable-signal features and improved MHEALTH-to-PAMAP2 activity classification.
A study combining source relevance with unlabeled cross-dataset stability selected 48 wearable-signal features and improved MHEALTH-to-PAMAP2 activity classification.
Researchers at Durham University have developed a dual-stream neural network that applies parallel attention to sensor modalities and time steps, ...
© 2026 Scienmag - Science Magazine
© 2026 Scienmag - Science Magazine