Zero-Effort Cross-Domain Gesture Recognition with Wi-Fi

Wi-Fi based sensing systems, although sound as being deployed almost everywhere there is Wi-Fi, are still practically difficult to be used without explicit adaptation efforts to new data domains. Various pioneering approaches have been proposed to resolve this contradiction by either translating features between domains or generating domain-independent features at a higher learning level. Still, extra training efforts are necessary in either data collection or model re-training when new data domains appear, limiting their practical usability. To advance cross-domain sensing and achieve fully zero-effort sensing, a domain-independent feature at the lower signal level acts as a key enabler. In this paper, we…

• NS
  National Science Foundation

  Awards: CNS-1837146, 1837146
• NN
  National Natural Science Foundation of China

  Awards: 61672319, 61872081, 61632008, 61832010, 2016YFC0700100, 61832010, 61632008, 61672319, 61872081
• TU
  Tsinghua University