Coverage-Aware Virtual IMU Augmentation for Low-Resource Human Activity Recognition
This work proposes a novel coverage-aware virtual IMU augmentation framework that decides where to supplement real data, how to generate and select virtual candidates, and how strongly to weight them during training.
Jiayuan Gao, Yingwei Zhang, Zi-Yao Tang et al.
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