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The article presents WiSR, a novel wireless domain generalization model that utilizes style randomization to enhance cross-domain wireless sensing without requiring target domain data or multiple transceivers. The model extracts domain-invariant features from various source domains by quantifying Channel State Information (CSI) differences and employs adversarial training to improve feature transferability across different domains. Extensive experiments demonstrate the effectiveness of WiSR in gesture recog
- Author
- Arthur Donfack
- Language
- EN