A subject-reweighted contrastive loss improves cross-subject generalization for human activity recognition across unimodal, multimodal, and supervised settings.
However, these applications rely on massive data drawn from various sensors
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Subject Invariant Contrastive Learning for Human Activity Recognition
A subject-reweighted contrastive loss improves cross-subject generalization for human activity recognition across unimodal, multimodal, and supervised settings.