~/talk

Towards Position-Independent Sensing for Gesture Recognition with Wi-Fi

Talkat UbiComp 2021 · 2021-09-21..09-26· [machine-learning]
links:none on file
name:Mi Zhang
links:none on file
name:Jie Zhang
links:none on file
name:Yang Li
links:none on file
name:Enze Yi
links:none on file
name:Dan Wu
links:none on file
name:Leye Wang
links:none on file
links:none on file
slides:none on file

Claims a hand-oriented view and a concrete feature called Motion Navigation Primitive (MNP) that uses the ratio of dynamic phase changes from two pairs of Wi‑Fi transceivers (CSI) to recover hand moving‑direction changes. Gestures are converted into sequences of strokes — line, arc and corner — and matched in real time by a prototype named WiGesture. Evaluation on three gesture sets reports over 92% average accuracy and demonstrates robustness to user location and orientation.

AI-written summary · about

  1. 0:00Introduction
  2. 1:48Feature Extraction
  3. 3:47Conclusion
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