~/talk

MultiSense: Enabling Multi-person Respiration Sensing with Commodity WiFi

Talkat UbiComp / ISWC 2020 · 2020-09-12..09-17
links:none on file
name:Dan Wu
links:none on file
name:Jie Xiong
links:none on file
name:Jinyi Liu
links:none on file
links:none on file
links:none on file
slides:none on file

MultiSense uses CSI from a single pair of commodity WiFi transceivers (three antennas each), models received signals as linear mixtures, and separates individual breaths with independent component analysis (ICA) after removing amplitude impulse noise and time-varying phase offsets by creating a weighted-antenna nulling denominator that preserves linearity. Prototype extracts continuous respiration waveforms for up to four people, resolves similar rates and blind spots, and reports mean absolute respiration rate error 0.73 bpm.

AI-written summary · about

  1. 0:00Introduction
  2. 0:29Wi-Fi for monitoring
  3. 1:04Current limitations
  4. 2:15Signal propagation model
  5. 2:46Using ICA for separation
  6. 2:57Addressing noise challenges
  7. 3:45Linearity preserving method
  8. 4:34System evaluation
  9. 5:23Conclusion and summary
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