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Wi-Sleep: Contactless Sleep Monitoring via WiFi Signals

Wi-Sleep: Contactless Sleep Monitoring via WiFi Signals. Xuefeng Liu 1 , Shaojie Tang 2 , Jiannong Cao 1 , Jiaqi Wen 1 Dept. of Computing, The Hong Kong Polytechnic University Jindal School of Management, UT Dallas Presenter: Qixin Wang 1. Outline. Motivation. Related works.

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Wi-Sleep: Contactless Sleep Monitoring via WiFi Signals

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  1. Wi-Sleep: Contactless Sleep Monitoring via WiFi Signals • Xuefeng Liu1, Shaojie Tang2, Jiannong Cao1, Jiaqi Wen1 • Dept. of Computing, The Hong Kong Polytechnic University • Jindal School of Management, UT Dallas • Presenter: Qixin Wang1

  2. Outline Motivation Related works Breath detection using WiFi signals Experiment

  3. Sleep Monitoring Systems: Class 1 Obtrusive to the users

  4. Sleep Monitoring Systems: Class 2 Privacy issue High cost Affected by light

  5. Low cost Touch-less Environmentally robust Privacy- preserved

  6. Can Wireless Radios Work? Low cost Non-intrusive Environmentally robust No privacy concerns

  7. Existing works Using RSSI (Received Signal Strength Indicator) for tracking respiration • Drawbacks: • Low sensitivity  Low accuracy • The effect of different sleeping postures is not investigated O. J. Kaltiokallio and et al., “Non-invasive respiration rate monitoring using a single cots Tx-Rx pair,” in IPSN 2014.

  8. Any better wireless features than RSSI ? Packet loss rate (PLR) LQI (Link quality indicator) ?

  9. Channel State Information (CSI) CSI: Using Intel Wi-Fi Wireless Link 5300 802.11n MIMO radios, can provide real-time channel state for 30 subcarrier groups

  10. CSI Amplitude and Phase

  11. Why CSI Works? LOS Exhale Inhale  Exhale Inhale  NLOS Reflection Diffusion Scattering (b) (a) NLOS   NLOS LOS   NLOS

  12. The CSI Data Processing Outlier removal using the median filter

  13. The CSI Data Processing Interpolation and wavelet-based noise filtering

  14. The CSI Data Processing Why choose wavelet filter instead of a general low-pass filters? Wavelet filter can preserve edge information, which will be utilized when detection postures changes.

  15. The CSI Data Processing Channel Selection using the Recurrence Plot

  16. The CSI Data Processing

  17. The CSI Data Processing Final result

  18. The Effect of Sleeping Positions 6 sleeping positions

  19. The Effect of Sleeping Positions When TX and RX are at the two sides of the person Channel Selection using the Recurrence Plot

  20. The Effect of Sleeping Positions The rationale

  21. The Effect of Sleeping Positions When TX and RX are at the same side of the person

  22. The Effect of Sleeping Positions Three pairs of TX-RX

  23. The Effect of Sleeping Positions Identifying Sleeping Positions via difference in periodicity level

  24. Experimental Results False positives and negatives

  25. Experimental Results Tracking respiration with fixed sleeping positions TX1-RX1 (same side) TX1-RX2 (different side)

  26. Experimental Results Identifying sleeping positions A : sleep on the back B : sleep on the left side C : sleep on the right side

  27. THANKYOUQ&A

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