Wi-Fi CSI activity recognition can label previously unseen named gestures by projecting radio features into word embedding and verb attribute spaces, achieving 62 to 90 percent accuracy for two to six unseen classes.
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Wi-Fringe: Leveraging Text Semantics in WiFi CSI-Based Device-Free Named Gesture Recognition
Wi-Fi CSI activity recognition can label previously unseen named gestures by projecting radio features into word embedding and verb attribute spaces, achieving 62 to 90 percent accuracy for two to six unseen classes.